Curriculum Resource Guide: Data Analysis

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Curriculum Resource to Prepare Students for AA-AAS

Contents

1. What is "Data Analysis" and how is it taught in general education settings?

1a.1 The essential knowledge in this content area

Types of Displays of Data Taught in the Common Core State Standards

Definition Example
Tables Tables are an organized way of displaying numerical data. They do not allow for visual analysis of data which can make it difficult to make inferences about the data displayed. Table showing the number of tourists and their length of stay while visiting Italy in the year 2000
Pictograph Pictographs display data using pictures symbols. Usually the pictures symbols represent a specific quantity. Data are usually displayed in rows or columns. Pictographs require a key to allow the reader to interpret the data. Table showing the membership counts for various after school clubs.  Science club has 25, Computer club has 55, Math club has 20, Spanish club has 30, Art club has 40, Drama club, has 10, and Chess club has 15 members.
Line Plot A line plot is a method of visually displaying a distribution of data values where each data value is shown as a dot or mark above a number line. Also known as a dot plot.

http://www.corestandards.org/assets/CCSSI_Math%20Standards.pdf

Sample Line Plot for Daily High Temperatures

Sample Line Plot chart for Daily High Temperatures

Bar Graphs Bar graphs are used to compare data. The data displayed is usually categorical (divided into categories). Bar graphs can be horizontal or vertical. The bars provide a visual display of the data that allow for comparisons to be made. When reading bar graphs, it is important to pay attention to the scale of the graph when interpreting data. Bar graph depicting number of votes for most popular of 6 different colors.  Green has 13, blue has 18, pink has 8, yellow has 14, orange has 5 and brown has 3.
Line Graphs Line graphs are usually used to demonstrate changes in data over time. The horizontal axis usually represents the quantity and the vertical axis represents units of time. Data are plotted by using the comparison of two variables (bivariate data). Line graphs can be used to observe possible trends in data. Line graph depicting number of cat adoptions between the years 2009 and 2012.  2009 has 100, 2010 has 133, 2011 has 175, and 2012 has 150.
Circle graphs (aka Pie chart) Circle graphs are used to demonstrate parts of a whole. The circle is divided into sectors, which represent the relative size of each part. Sometimes sectors represent percentages of a whole. The area of each sector in a circle graph is the same proportion to the whole circle as each item is to the total value in the table. Pie chart showing the popularity of bicycling, swimming, and running.  Bicycling has 42%, swimming has 25%, and running 33%.
Histograms Histograms appear similar to bar charts. The main difference is that bars in histograms represent intervals of data and the data are numerical in nature (bars in bar graphs tend to represent categories). Due to the use of intervals, the bars in histograms touch each other to represent the continuous nature of the data. Bar graph showing how many hours students spend watching TV per week. 5 students spent 1 to 5 hours, 10 students spent 6 to 10 hours, 15 students spent 11 to 15 hours and 10 students spent 16 to 20 hours.
Stem-and-Leaf plot Stem-and-leaf plots organize the data in a way that displays the shape of the data (the way the data is distributed across the range). The data is organized by place value. The stem contains the largest place values and the leaves contain the numeral in the smallest place value. The leaves are usually displayed to the right of the stem. Another benefit to stem-and-leaf plots is that all individual data are displayed in the graph. Stem and Leaf plot depicting points scored in a basketball game
Box plot (aka box and whiskers plot) Box plots visually display the distribution of data. The box represents the middle 50% of the data. Data are divided into interquartile ranges (ranges that demonstrate 25% of data). The lower quartile (lower 25% data values) is demonstrated by the line extending from the left of the box (this line is called a whisker). The upper quartile (upper 25% data values) is demonstrated by a line extending from the right of the box (also called a whisker). The line inside the box represents the median value of the data set. Box plot graph showing the minimum, median, and maximum of player weights
Scatter plot A scatterplot is a graph in the coordinate plane representing a set of bivariate data. For example, the heights and weights of a group of people could be displayed on a scatter plot.

http://www.corestandards.org/assets/CCSSI_Math%20Standards.pdf

Scatter plot graph depicting the gender, heights, and weights of a group of people

Collect data and organize into bar graph

In general education settings, students are taught to pose a question, collect data, organize the data, and interpret the data. Children begin with using concrete objects as their "data." They begin by classifying and sorting the items. Teachers can shape this into graphing behavior by having them sort the items into lines. Then students can begin to use representations of the objects (e.g., photos or line drawings) and place them onto graphs. This is followed by more advanced graphing which includes labeling the graph, shading in sections, developing a key or scale interval to represent amounts, etc. For example, students take votes on their classmates' favorite colors. They get the following results: red – 7, blue – 1, green – 5, orange - 3. Then they are asked to graph the data. Below are examples of graphs moving from concrete to symbolic.

Four bar graphs depicting the number of votes for favorite colors, represented by concrete to symbolic object

Using ordered pairs to graph given points

Ordered pairs are considered bivariate data. Bivariate data are data that consist of two variables such as miles per hour or numbers of hours studied and grades on the test. Line graphs displaying bivariate data help to show trends over time and enable students to make predictions/estimations by looking at points on the line between the plotted data and estimating the value of the variables represented. Creating line graphs requires students to utilize horizontal and vertical axes in order to plot the data points. This prepares students for graphing on coordinate planes.

Below are two line graphs using the following bivariate data set: Several students were surveyed on how many hours they studied for the Algebra test. The average test score for students who studied 1 hour was 72%. The average for 2 hours was 85% and the average for 3 hours was 90%. Graph the data.

Two line graphs depicting the number of hours studied versus test score percentages

As shown above students may graph the data in two different ways based on their interpretation of the data and the axis where they assign the variables (test scores, hours studied). However, if all the students were told to assign hours studied to the x-axis and test scores on the y-axis or given the following ordered pairs (1, 72), (2, 85), (3, 90) the students should all create the same graph (as shown below). These ordered pairs demonstrate points on the graph corresponding with the x-axis (horizontal axis) and y-axis (vertical axis). The first number tells students how far to move away from the point of origin (zero on the graph or coordinate plane) across the horizontal axis. The second number tells students how far to move away from the point of origin up the vertical axis. So in the example below the first point on the graph is (1, 72). To plot this point you would move horizontally away from the origin towards 1, then move up vertically to approximately 72 and draw a point.

A ordered pair graph that displays the number of hours studied versus test score percentages



Bivariate data can also be graphed as scatter plots. A scatter plot is a graph of plotted points (i.e., ordered pairs) that show the relationship between two sets of data. In the example below, each dot represents one adolescent's vegetable consumption versus the number of minutes spent helping to prepare meals.

A scatter plot showing the weekly vegetalbe consumption of 8 to 12 year olds

Students learn to analyze scatter plots to describe relationships between the two variables. Based on the plot above students would infer that the more time adolescents spend preparing meals the more likely they are to eat vegetables.

Summarizing data using measures of central tendency and variability

Data sets can be summarized in relation to measures of central tendency (the middle values of the data set). The three measures of central tendency are mean, median, and mode. See examples below using the following data set which compares the number of vegetable servings eaten weekly versus minutes spent weekly helping prepare meals of 19 adolescents:

Vegtables Eaten 0 0 0 5 5 6 7 7 7 7 7 9 10 12 12 14 14 15 21
Minutes Preparing 0 5 7 15 10 7 16 14 30 25 15 30 45 45 60 65 62 70 180

Mean, Median, and Mode Mean is the sum of all the values divided by the total number of values. Mean of minutes preparing meals: 0+5+7+15+10+7+16+14+30+25+15+30+45+45+60+65+62+70+180= 701 701÷19= 36.9 minutes Mean number of minutes preparing meals = 36.9 minutes

Median is the middle number in the data set. To find the median, place the numbers in value order and find the middle number. Median of minutes preparing meals: How data are presented:

0 5 7 15 10 7 16 14 30 25 15 30 45 45 60 65 62 70 180

Data in value order:

0 5 7 7 10 14 15 15 16 25 30 30 45 45 60 62 65 70 180

Middle number:

0 5 7 7 10 14 15 15 16 25 30 30 45 45 60 62 65 70 180

Median number of minutes preparing meals = 25 \*Note: if you have an even number of values, find the two middle values add them together and divide by 2 (e.g., middle numbers 24 and 30. 24 + 30 = 54. 54 ÷2 = 27. Median = 27)

Mode is the most often occurring value in the data set. To find the mode, place the numbers in value order and find the most often occurring number(s). Mode of minutes preparing meals: Data in value order:

0 5 7 7 10 14 15 15 16 25 30 30 45 45 60 62 65 70 180

Mode(s):

0 5 7 7 10 14 15 15 16 25 30 30 45 45 60 62 65 70 180

The values 7, 15, 30, and 45 all appear twice in this data set. They are the modes. Modes\* of minutes preparing meals: 7, 15, 30, 45 \*This data set would be considered multimodal (more than 2 modes; bimodal refers to two modes).

Variability (Range and Outliers) Range The range of a data set is the difference between the highest and lowest values in the set. Range of minutes preparing meals:

Highest – lowest = range

180 – 0 = 180

The range of minutes preparing meals is 180 minutes.

Outliers An outlier is a data value that stands out from others in a set. Outliers are most easily determined by looking at a visual graph of the data. Below are two examples of viewing outliers (circled).

A bar graph and scatter plot graph depicting outlier data

Summarizing data by creating histograms

A histogram is a graphical display of data using bars of different heights. It is similar to a bar chart but a histogram groups data values into ranges an uses vertical columns to show the frequencies of the of the data values. The histogram below displays the number of minutes adolescents spend preparing meals per week.

A histogram bar graph that shows how many times students prepare meals and how much time they spend doing so

According to this histogram the overall range of the data values is from 0 to 190. The data values are grouped in ranges of 10. This graph can be analyzed to interpret information about the adolescents in this sample duration of weekly meal preparation. For example, five students spent 10 to 20 minutes per week preparing meals. One student spent 70 to 80 minutes. Most students spent less than 1 hour preparing meals.

Analyzing graphs that include two samples or populations

As students learn about measures of central tendency and variability they should be provided opportunities to apply their knowledge to a variety of graphs. Below is a bar graph that includes two samples or populations. This allows students to identify characteristics of each individual group as well as make comparisons between the two groups.

A dual sample bar graph that shows which is a favorite vegetable

Examples of questions that could be asked about this data set:

  1. Do more boys or girls like vegetables? [girls]
  2. What is the mode for favorite vegetables [most commonly voted for – peas]
  3. What is the difference between the number of boys who voted for broccoli versus girls? [2]
  4. What is the total number of students who voted for potatoes? [6]

1a.2 Common misunderstandings in this content area

  • Students may use the wrong type of graph to display data. Below is an example of the correct use of a line graph instead of a bar graph. In this instance students should understand that all points on a line in a line graph should represent a value. What is the value of the midpoint (see purple dot) between red and blue? A student might answer "4", but "4" of what? This data should have been represented using a bar graph. In order to avoid this misconception, students should be provided practice identifying types of graphs and their purpose. For example, bar graphs tend to display categorical data (data that can only be divided into categories such as colors), whereas line graphs display nominal data (data that can be displayed using numbers).

A line graph with red having a total of 7, blue having 2, green having 5, and orange having 3.

  • Students may not attend to scale when comparing data in two graphs. See the example below. Both are displaying the same data set but one might appear to a student to have more due to the height of the columns. To avoid this error students should be taught to attend to all the features of the graph (in this case, the y-axis values).

Two bar graphs that contain the same data but have different scale due to student error

  • Students may have difficulty interpreting pictographs where each picture stands for an amount greater than one.

1a.3 Prior Knowledge/skills needed (can be taught concurrently)

  • Number identification
  • More/less
  • One to one correspondence
  • Same/different

2. What are some of the types of activities general educators will use to teach this skill?

2.1 Activities from General Education Resources

(CCR & Standards for Mathematical Practice Reference Table)

  • Standards for Mathematical Practice 4Career & College Readiness 1Career & College Readiness 3Ask students to collect data (e.g., time students spend playing video games or types of video games played) and then have them select the correct graphical representation to display the data.
  • Standards for Mathematical Practice 1Career & College Readiness 4Have students collect graphs from a variety of sources (internet, magazines, etc.) and sort them by type.
  • Standards for Mathematical Practice 4Career & College Readiness 3Create a scaled pictograph representing classmates' favorite sport.2
  • Standards for Mathematical Practice 4Career & College Readiness 1Use line graph which charts height and weight of an individual to answer questions about the pattern of her growth.2
  • Standards for Mathematical Practice 2Career & College Readiness 1Give students data, such as responses to a survey about favorite dessert, and have them develop a graph with an appropriate scale to represent the data.3
  • Standards for Mathematical Practice 1Standards for Mathematical Practice 3Career & College Readiness 1Provide the same data set displayed in two different forms: Bar graph and circle graph. Ask students to compare and contrast the information obtained from each graph.4
  • Standards for Mathematical Practice 2Career & College Readiness 4Provide students with list of numbers and ask them to calculate the average.4
  • Standards for Mathematical Practice 4Career & College Readiness 3Have students collect data about students in their school and compile statistics by determining the mean, median, and mode of student characteristics (e.g., height, age, library use, and distance from home to school).4
  • Standards for Mathematical Practice 4Career & College Readiness 1Ask students to create a circle graph demonstrating how they spend their money.4
  • Standards for Mathematical Practice 1Career & College Readiness 4Ask students to use the internet to find the number of different species of animals housed in five major zoos, and create a bar graph of the data set.5
  • Standards for Mathematical Practice 4Career & College Readiness 2Give students a set of data and ask them to create a line graph to represent the data set provided.5
  • Standards for Mathematical Practice 4Career & College Readiness 2Give students a set of data and ask them to create a stem-and-leaf plot to represent the data provided.5

Links across content areas

  • Social Studies:
    • Standards for Mathematical Practice 2Career & College Readiness 4Have students research the average household income for all the states surrounding their own and then create a pictograph using a dollar bill to represent $1,000.
    • Standards for Mathematical Practice 4Career & College Readiness 4Create a bar graph displaying distance from where the student lives to major cities in the United States.2
    • Standards for Mathematical Practice 5Career & College Readiness 4Using election results displaying votes by county have students to calculate the mean, median and mode number of votes for two competing candidates in 10 local counties.5
  • Literature:
    • Standards for Mathematical Practice 1Career & College Readiness 2Read Help is on the way for charts and graphs by Marilyn Berry.
    • Standards for Mathematical Practice 1Career & College Readiness 2Read The Magic School Bus Inside a Beehive by Joanna Cole and graph an estimate of the number of eggs the queen bee lays in one minute, two minutes, etc. and develop an appropriate scale to match the data.3
    • Standards for Mathematical Practice 3Career & College Readiness 2Write several sentences up on the board that use the term average but communicate different meanings and discuss this with the class. Then explain and discuss the meaning of average when applied to mathematics.3
    • Standards for Mathematical Practice 2Career & College Readiness 2Read Peanut Butter and have students graph the relationship between peanuts and amount in ounces of peanut butter.
    • Standards for Mathematical Practice 3Career & College Readiness 2Ask students to read three different types of genres and count the number of words per minute read over a period of three minutes. Have them graph the data and discuss why some genres may take more time to read than others.5
  • Science:
    • Standards for Mathematical Practice 4Career & College Readiness 4Have students plant a seed and measure its growth over time and graph the data.3
    • Standards for Mathematical Practice 4Career & College Readiness 4Have students plant a new seed and an old seed and measure their growth over time, graph the data on the same chart, and compare the data between the two seeds.3
    • Standards for Mathematical Practice 1Have students collect and graph data showing the number of tornadoes per year in the United States for the last 5 years.5
  • Music:
    • Standards for Mathematical Practice 5Career & College Readiness 3Have students research the length of several popular songs and calculate the average length.3

3. What Connectors to the Common Core Standards Are Addressed in Teaching "Data Analysis"?

Grade Differentiation Core Content Connectors Common Core State Standards
3rd grade 3.DPS.1f1 Develop questions, make a plan for data collection
3.DPS.1g1 Collect data, organize into picture or bar graph 3.MD.3
3.DPS.1g2 Organize measurement data into a line plot 3.MD.4
3.DPS.1i1 Select the appropriate statement that describes the data representations based on a given graph (picture, bar, line plots) 3.MD.3
3.DPS.1k1 Apply results of data to a real world situation
4th grade 4.DPS.1f2 Develop questions, make a plan for data collection
4.DPS.1g3 Collect data, organize in graph (e.g., picture graph, line plot, bar graph) 3.MD.3
4.DPS.1j1 Select an appropriate statement that describes the most frequent or the least frequent data point using a line plot, picture graph, or bar graph 3.MD.3
4.DPS.1k2 Apply results of data to a real world situation 3.MD.4
5th grade 5.GM.1c1 Locate the x and y axis on a graph 5.G.1
5.GM.1c2 Locate points on a graph 5.G.1
5.GM.1c3 Use order pairs to graph given points 5.G.1
5.DPS.1c1 Collect and graph data: bar graph, line plots, picture graph (e.g., average height among 3 classrooms, # of boys and girls) 3.MD.3

5.MD.2

5.DPS.1d1 Select an appropriate statement about the range of the data for a given graph (bar graph, line plot) (i.e. range of data) up to 10 points 6.SP.3
5.DPS.1e1 Use measures of central tendency to interpret data including overall patterns in the data 6.SP.3
6th grade 6.GM.1c4 Locate points on a graph 5.G.1
6.GM.1c5 Use order pairs to graph given points 5.G.1
6.GM.1c6 Find coordinate values of points in the context of a situation 5.G.2
6.DPS.1a2 Identify statistical questions and make a plan for data collection 6.SP.1
6.DPS.1c2 Collect and graph data: bar graph, line plots, dot plots, histograms 6.SP.4
6.DPS.1d2 Solve for mean of a given data set 6.SP.3
6.DPS.1d3 Select statement that matches mean, mode, and spread of data for 1 measure of central tendency for a given data set 6.SP.5
6.DPS.1d4 Find the range of a given data set 6.SP.2
6.DPS.1d5 Explain or identify what the mean represents in a set of data 6.SP.3
6.DPS.1d6 Explain or identify what the mode represents in a set of data 6.SP.2
6.DPS.1d7 Explain or identify what the median represents in a set of data 6.SP.5
6.DPS.1e2 Use measures of central tendency to interpret data including overall patterns in the data 6.SP.5
7th grade 7.DPS.1k1 Analyze graphs to determine of select appropriate comparative inferences about two samples or populations 7.SP.4
7.DPS.1b1 Determine sample size to answer a given question 7.SP.1
7.DPS.1g1 Graph continuous data using line graphs, histograms, or dot plots 6.SP.4
7.DPS.1i1 Solve for the median of a given data set 6.SP.5C
7.DPS.1i2 Identify the range (high/low), median(middle), mean, or mode of a given data set 7.SP.4
7.DPS.1j1 Make or select a statement to compare the distribution of 2 data sets 7.SP.3
7.DPS.1k1 Analyze graphs to determine or select appropriate comparative inferences about two samples or populations 7.SP.4
8th grade 8.DPS.1h1: Graph bivariate data using scatter plots and identify possible associations between the variables 8.SP.1
8.DPS.1k2 Analyze displays of bivariate data to develop or select appropriate claims about those data 8.SP.4
Grades 9-12 H.DPS.1a1 Design study using categorical and continuous data, including creating a question, identifying a sample, and making a plan for data collection S.ID.4

S.ID.5

H.DPS.1b1 Complete a graph given the data, using dot plots, histograms, or box plots S.ID.1
H.DPS.1c1 Use descriptive stats; range, median, mode, mean, outliers/gaps to describe the data set S-ID.4

S-ID.5

H.DPS.1c2 Compare means, median, and range of 2 sets of data S.ID.2
H.DPS.1d1 Represent data on a scatter plot to describe and predict S.ID.6
H.DPS.1d2 Select an appropriate statement that describes the relationship between variables S.ID.6
H.DPS.1d3 Make or select an appropriate statement(s) about findings S.IC.6


Performance Examples for Priority CCCs
Grade 3
CCC Performance Example Essential Understandings: Concrete Understandings and Representations
Data: 3.DPS.1g1 Collect data, organize into picture or bar graph

(3.MD.3)

Student reads a table and shades in a bar graph

A table and a bar graph template.  The table has each students name and their mode of transportation to school and a blank bar graph template for shading in the total amounts

Concrete Understandings:
  • Identify data set based on a single attribute (e.g., pencils vs. markers,)
  • Identify data set with more or less (e.g., this bar represents a set with more)
  • Organize the data into a graph using objects (may have number symbols)
  • Properly label graph (e.g. axes on bar graph)
Representation:
  • Identify data set with some number (e.g., bar graph representing 5 pencils)
  • Identify a picture or bar graph
Grade 4
CCC Performance Example Essential Understandings: Concrete Understandings and Representations
Data: 4.DPS.1g3: Collect data, organize in graph (e.g., picture graph, line plot, bar graph) (3.MD.3)

A picture with 2 dogs and 3 cats depicting how many animals are in the vet's office and a blank bar graph template for shading in the totals


Concrete Understandings:
  • Identify data set based on a single attribute (e.g., pencils vs. markers,)
  • Identify data set with more of less (e.g., this bar represents a set with more)
  • Organize the data into a graph using objects (may have number symbols)
  • Properly label graph (e.g., axes on bar graph)
Representation:
  • Identify data set with some number (e.g., bar graph with 5 pencils)
  • Organize the data into a pictorial graph
Grade 5
CCC Performance Example Essential Understandings: Concrete Understandings and Representations
Geometry: 5.GM.1c3: Use ordered pairs to graph given points (5.G.1) A coordinate plane with the given point (4, 3) Now it's time to plot points on this graph. Here is the x-axis (show student x-axis) and here is the y-axis. This point has already been plotted (point to 4, 3). This point is at 4, 3. Now it's your turn. Plot the following points (present each ordered pair one at a time and read it to the student).
(2, 1) (1, 5)
Concrete Understandings:
  • Identify the x- and y- axis
  • Identify the point of intersection
  • Complete concrete graphing of points (e.g., put the straw up on 3 on the x-axis; put the next straw across on 2 on the y-axis. Put a chip there [for 3,2])
  • Understand first coordinate is horizontal, second coordinate vertical
Representation:
  • Understand concepts and vocabulary: coordinates, ordered pair, origin, axis, grid, point
Grade 6
CCC Performance Example Essential Understandings: Concrete Understandings and Representations
Data: 6.DPS.1d3: Select statement that matches mean, mode, and spread of data for 1 measure of central tendency for a given data set (6.SP.5) Present students with the table and say "Mrs. Smith's 6th grade class had a fundraiser to raise money for a class trip. Each student sold raffle tickets. This table shows how many raffle tickets each student sold."
Student Tickets Sold
Frank 2
Rita 1
Derek 5
Gabriel 4
Francis 1
Kamaria 3
Steve 1

Show students the following response options. Say "The range of data is the highest number minus the lowest number. Which of these equations shows how to find the range?"

  1. 5 + 1 = 6
  2. 5 – 4 = 1
  3. 5-1 = 4

Show students the following response options. Say "The mode is the number that is repeated the most in the table. What is the mode of these data?"

  1. 5
  2. 3
  3. 1

Show students the following response options. Say "You calculate the median by putting the numbers in order, smallest to largest, and then find the number in the middle. What is the median of these numbers?"

  1. 2
  2. 5
  3. 1

Show students the following response options. Say "The mean of data is the average. To find the average, you add up all the numbers, which equals 17. Which equation shows the next step to find the mean?"

  1. 17 / 1 = 17
  2. 17 * 2 = 34
  3. 17 / 7 = 2.4


Concrete Understandings:
  • Identify the highest and lowest value in a data set given a number line and matching symbols.
  • Arrange data from highest to lowest.
  • Identify the representation (Plastic snap cubes, wiki sticks) of the mode.
  • Use concrete materials to produce the mean (leveled plastic snap cubes).
Representation:
  • Identify the mode and the spread of the data using a line drawing of the distribution
  • Calculate the mean using pre-slugged template of data points
  • Understand concepts and vocabulary: mean, mode, spread of data
Grade 7
CCC Performance Example Essential Understandings: Concrete Understandings and Representations
Data: 7.DPS.1k1: Analyze graphs to determine of select appropriate comparative inferences about two samples or populations (7.SP.4) Show the students the following bar graph. Say "The students in Mr. Kinnamore's class took a poll of their favorite sports. The results are shown this graph. Boys are shown in blue and girls are shown in red. The sports are printed across the bottom and how many students liked that sport is shown on the left. For example: 6 girls like soccer and 2 boys like soccer." Ask the students the following questions:

A bar graph showing the number of boys and girls who play soccer, tennis, and golf

"Do more boys or girls like golf?"

  1. Boys
  2. Girls
  3. Same

Compare the mode for the favorite sports for boys and for girls. Remember, mode is the most commonly voted for sport. What is the difference number of boys who voted for the mode for boys and the number of girls who voted for the mode for girls?"

Concrete Understandings:
  • Understand basic information from simple graphs (e.g., interpret a bar graph using the understanding that the taller column on a graph has a higher frequency, the shorter column on a graph has a lower frequency).
  • Identify a representation of two bar graphs (one category apiece) as having greater or less frequency of members/events related to a single variable. (e.g., compare number of boys in soccer to girls in two graphs.)
  • Make a comparison between two graphs
Representation:
  • Identify a pictorial representation of two bar graphs (one category apiece) as having greater or less frequency of members/events related to a single variable. (e.g., compare number of boys in soccer to girls in two graphs.)


Grade 8
CCC Performance Example Essential Understandings: Concrete Understandings and Representations
Data: 8.DPS.1k2: Analyze displays of bivariate data to develop or select appropriate claims about those data (8.SP.4) Show students the table and read the following: "The theater club is making posters to advertise their upcoming play. The theater director, Ms. Gowen recorded how long each student worked on making posters and how many posters they each made. Ms. Gowen put the data into a table, this column says the students' names, this column says how many hours they worked on making posters, and this column shows how many posters each student made." Read the table to the student if needed. Ask: "What is the relationship between the hours spent making posters and the number of posters each student made?"

A table that lists each student, the hours they worked, and the number of posters they produced


Concrete Understandings:
  • Match to same (a given association of a data set and three choices)
  • Use graphic supports (e.g., highlighted transparency of an association) to identify the appropriate statement when given a relationship between two variables
Representation:
  • Explain the associations between the variables using supports (e.g., the selection of the highlighted transparency and make a statement)
  • Understand concepts and vocabulary: variable, claim
Data: 8.DPS.1h1: Graph bivariate data using scatter plots and identify possible associations between the variables (8.SP.1) Show students the following table and say "This table shows the data for a baseball team. For each player, it shows the number of hours practicing in the batting cages and the number of base hits they made in a playoff run."
Player's Last Name Number of hours practiced Number of base hits
Schilling 4 2
Martinez 6 3
Garciaparra 8 4
Nixon 9 5
Millar 10 6
Ramirez 11 8

"You are going to graph the number of hours practiced in the batting cages and number of base hits for these players. Number of hours practiced will be along the y-axis and the number of base hits will be along the x-axis. The shaded rows on the table have already been plotted; you need to plot the remaining players' data."

A point plot graph depicting the number of hours practiced with the number of base hits

Now show students the following response options and ask "Based on these data, what relationship do you see between hours practiced and number of base hits?" Read response options.

  1. The more hours a player practices, the more hits he gets.
  2. The more hours a player practices, the less hits he gets.
  3. All the players have the same number of hits.


Concrete Understandings:
  • Locate points on the x-axis and y-axis an adapted grid (not necessarily numeric).
  • Match to same (a given association of a data set and three choices)
  • Analyze scatter plots to check for: increasing or decreasing patterns in the data.
Representation:
  • Graph a series of data points on a coordinate grid.
  • Identify the associations between the variables using supports
  • Understand concepts and vocabulary: best fit line, variable
High School
CCC Performance Example Essential Understandings: Concrete Understandings and Representations
Data: HS.DPS.1c1: Use descriptive stats; range, median, mode, mean, outliers/gaps to describe the data set (S.ID.4, S.ID.5) Show the students the following table and say: "This table shows the days each student in Mr. Wood's class has missed at school this year. This column shows the student names and this column shows the number of days that student has missed." Point to each column and show students. Read the first two rows to the students saying: "Look, Makayla has missed 0 days of school and Destiny has missed 1 day of school." You may read the remainder of the table to the student if needed.
Student Days Missed
Makayla 0
Destiny 1
Imani 1
William 1
Jaylen 3
Elijah 5
Sydney 8
Zion 8
Kevin 9

Present the word problem and response options (below). Read the word problem aloud to the student. The range is the difference between the fewest days of school missed and the most days of school missed. Which of these equations shows the range?

  1. 8 + 5 = 13
  2. 9 - 8 = 1
  3. 9 – 0 = 9

Present the word problem and response options (below). Read the word problem aloud to the student. The mode is the number that occurs the most often. Which of these shows the mode for school days missed?

  1. 1
  2. 9
  3. 8

Present the word problem and response options (below). Read the word problem aloud to the student. Once the numbers are put in order from smallest to greatest, then you can find the median. The median is the middle number of the set of school days missed by each student. Which of these shows the median for school days missed?

  1. 1
  2. 3
  3. 9

Present the word problem and response options (below). Read the word problem aloud to the student. The mean is the sum of the total school days missed divided by the number of students in the table. Which of these shows the mean for school days missed?

  1. 3
  2. 7
  3. 4


Concrete Understandings:
  • Given a scatter plot, identify outliers in the data set.
  • Identify the highest and lowest value in a data set given a number line and matching symbols (concept of range).
  • Identify the representation (Use Plastic snap cubes to represent the tally showing the number of occurrences) of the concept of mode.
  • Identify the concept of median using concrete representations of data (create a bar graph with an odd number of bars using snap cubes; arrange from shortest to tallest; student place fingers on two outside towers, knock towers over and move inward until they reach the one middle tower left standing).
  • Use concrete materials to produce the mean (leveled plastic snap cubes: using the same bar graph with snap cubes, re-arrange cubes into equal stacks).
Representation:
  • Understand concepts and vocabulary: median, mode, mean, outliers
  • Identify the mode and the spread of the data using a line drawing of the distribution
  • Calculate the mean using pre-slugged template of data points
  • Order data set using numeric symbols
Data: H.DPS.1b1 Complete a graph given the data, using dot plots, histograms, or box blots (S.ID.1) Show students the following table and say: "You are going to make a histogram. This table shows that data that will be in the histogram. It shows the students names on this side and the number of tickets sold on this side." Point to each column as you explain. "Cassie sold 3 tickets, Erik sold 7 tickets." Teachers can stop reading the table or read the entire table to the students if needed. "The ranges of tickets sold are listed below the table: 1-5 tickets, 6-10 tickets, 11-15 tickets, 16-20 tickets. Use those ranges on your histogram. Use this template to make your histogram. Remember to label both axes."
A blank bar graph template for totaling the range of tickets sold
Student Tickets Sold
Cassie 3
Erik 7
Jackie 10
Andrew 5
Isaac 12
Tatiana 1
Bradley 3
Brendan 14
Elizabeth 8
Robert 2
Tommy 2
Michael 9
Kate 1
Billy 4
Justin 17
Jill 19


Concrete Understandings:
  • Complete a graph
  • Match the source of the values at the bottom of the x-axis with the appropriate category of the related data table.
  • Describe the elements within a graph (e.g., in a box plot the line is the median, the line extending from each box is the lower and upper extreme, and the box shows the lower quartile and the upper quartile)
Representation:
  • Complete the steps of the task analysis to complete a box plot
  • Understand concepts and vocabulary: quartile, median, intervals, upper and lower extremes, box plot, histograms, dot plots

4. What are Some Additional Activities That Can Promote Use of this Academic Concept in Real World Contexts?

  • Standards for Mathematical Practice 3Career & College Readiness 5Have students collect nutrition information on their favorite foods from several fast food restaurants and graph the amount of fat and total calories for each of the items. Ask them to identify the healthiest foods displayed.
  • Standards for Mathematical Practice 4Career & College Readiness 3Ask students to collect and graph the average temperatures of weather across the year in the area in which they live; then have them match the type of clothing they need to wear across the year.
  • Standards for Mathematical Practice 4Career & College Readiness 4Have students graph their monthly allowance (or job earnings) and predict how long it would take for them to purchase a desired item. Extend this by having them choose an inexpensive item (such as a t-shirt) and a more expensive item (such as a Nintendo DS) and calculate the difference in time it would take to have the money to purchase these items.
  • Standards for Mathematical Practice 3Career & College Readiness 5Ask students to research the amount of UVB and UVA sunlight that is emitted over time and compare this to what are considered harmful levels of each. Based on this information ask students how often they should reapply sunscreen and/or how long it is safe to stay out in direct sunlight.
  • Standards for Mathematical Practice 1Career & College Readiness 5Have students set a goal time for running or walking two miles. Ask them to time themselves each time they run or walk two miles and predict how soon they will achieve their goal.5
  • Standards for Mathematical Practice 3Career & College Readiness 4Get students to research the cost of living for the city in which they reside. Then have them research the median wages earned for 5 professions they may be interested in pursuing and compare these wages to the cost of living. Ask the students if they will be able to live comfortable on these wages? Will they need to work more than one job?

5. How Can I Further Promote College and Career Readiness when Teaching "Data Analysis"?

Ideas for Promoting Career/ College Ready Outcomes

Communicative competence:

Students will increase their vocabulary to include concepts related to "data analysis." In addition, they will be learning concepts such as: more, less, most, least, same, different, average, about, and graph.

Fluency in reading, writing, and math

Students will have an opportunity to increase their numeracy and sight word fluency while participating in problem solving related to "data analysis" such as addition and division to determine mean and number identification to express mode or median. Writing numerals and developing questions about a data set of visual display of data. Reading and interpreting data displays including legends and labels on graphs.

Age appropriate social skills

Students will engage in peer groups to solve problems related to "data analysis" that will provide practice on increasing reciprocal communication and age appropriate social interactions. For example, students might work together with their peers to survey students in their school and then work together to display the data they collected into an appropriate graph.

Independent work behaviors

By solving real life problems related to "data analysis," students will improve work behaviors that could lead to employment such as a data entry operator. When providing opportunities for real life problems leave some materials out and prompt/teach the students to determine who they should ask and what they should ask for to be able to solve the problem.

Skills in accessing support systems

At times, students will need to ask for assistance to complete activities related to "data analysis" which will give them practice in accessing supports. Students will gain practice asking for tools such as talking calculators, number lines, graphic organizers, and formulas. They can ask a peer to complete the physical movements of the tasks they are not able to do themselves. Be sure to teach students to ask versus having items or supports automatically given to them.

6. How Do I Make Instruction on "Data Analysis" Accessible to ALL the Students I Teach?

6.1 Teach Prerequisites and Basic Numeracy Skills Concurrently: Remember that students can continue to learn basic numeracy skills in the context of this grade level content.

Basic numeracy skills that can be worked on as a part of a lesson relating to equations:

  • Number identification
  • Counting
  • One to one correspondence
  • Addition
  • Division
  • Counting by twos (and other intervals of scale)

6.2 Incorporate UDL: Universal Design of Learning When Teaching Data Analysis

Some examples of options for teaching Data Analysis to students who may present instructional challenges due to:
Sensory Differences such as Blindness, Visual Impairment, Deafness, or Deaf/Blindness Physical Disability or Motor Differences (such as weakness or motor planning difficulty) Extremely limited evidence of experience/ skill or motivation/attention. Lack of or extremely limited use of speech.
Options for Representation
Provide auditory options
  • Text-to-speech software or voice recordings to read aloud story problems
  • Single message sequence voice–output devices to count aloud
  • Captioning software that presents auditory information visually
  • Provide student with tally counter that they can click for each count of the data value
  • Use talking calculator

Provide tactile options:

  • Object cues, using miniature objects or other tangible symbols to assist with problem comprehension
  • Create graphs out of tactile materials
  • Use raised textured surfaces to demonstrate bars on graphs

Provide visual and manipulative options to scaffold representation of concepts:

  • Provide manipulatives for quantities, such a Cuisenaire rods or counting cubes
  • Use Wiki sticks to raise grid lines
  • Provide actual or miniature objects that represent each category or concept demonstrated in graphs
  • Color code bars and data points with unit on x-axis
  • Use numbers between 1-10 and provide number line which visually shows numbers getting larger.
  • Use pictures for axis labels.
Reduce Physical Effort
  • Place materials on slant board or eye gaze array
  • Display flip chart, interactive white board or other teaching materials at student eye level
  • Student can scan an array of possible options and use a switch to select the quantity to complete the graph
  • Use computer representation of figures that can be manipulated with switch
  • Create large scale graphs on walls or floor so that students can easily navigate to or gesture towards components of the graphs
Illustrate through multiple media
  • Display data and graphs on the interactive whiteboard
  • Incorporate interactive websites that provide nonlinguistic tools for exploring math concepts:

Illuminations http://illuminations.nctm.org/ActivitySearch.aspx

Math Open Reference http://www.mathopenref.com/

There are many resources listed here: http://www.udlcenter.org/implementation/examples

  • Have students create graph related to personal interests such as sports, music, movies, food, etc.
  • Allow student to select topic for survey.
  • Make activity hands-on.
Provide customized display of information
  • Consistently model by utilizing modes of communication used by students (point to symbols representing concepts, operations)
  • Teacher model competent use of AAC during instruction


Sensory Differences such as Blindness, Visual Impairment, Deafness, or Deaf/Blindness Physical Disability or Motor Differences (such as weakness or motor planning difficulty) Extremely limited evidence of experience/ skill or motivation/attention. Lack of or extremely limited use of speech.
Options for Expression
Vary the methods for response by:
  • Student states answer or scans raised numbers to select correct answer
  • Provide manipulatives for student to respond or contribute to interaction
  • Student states answer by selecting picture or symbol
  • Use voice output devices for student to select the correct answer
  • Visually impaired student may dictate how to draw bars, order date, or graph linear equation
  • Student may also use talking calculator to solve for mean and range
Provide options for responses/expression:
  • Student selects numbers versus writing them
  • Selection of correct answer is done after a model
  • Students identify values by matching numbers in data set to answer questions
  • Ask questions that allow them to answer "more", "most", "less", or "least" instead of exact numeral values.

Optimize access to tools/ alternatives for responding

  • Provide symbols, objects, manipulatives, and pictures for matching/ student responses
  • Let students use software to develop visual representations of the data they have created
  • Students may use speech-to-text software to input data.
Provide multimedia options for responses/expression:
  • Allow the student to make selections by pointing to, gazing at, or selecting answers on the interactive white board
  • Utilize a switch or adapted computer mouse
  • Have student write answers with novel pencil or use a tablet computer
  • Use software that creates visually dynamic graphs to display and interpret data
Provide options for modes of communication:
  • Incorporate responses into student's AAC device or eye gaze array
  • Phrase questions so that they require a "yes/no" response, these can easily be answered using an eye gaze, head turn, two switches, etc.
  • Choose response by pointing to or selecting object or item
  • Use a blink response to count tiles or select answer
  • Count tiles/cubes out loud having student move in some voluntary way (e.g., nod head, tap hand, tap foot) to count along
Sensory Differences such as Blindness, Visual Impairment, Deafness, or Deaf/Blindness Physical Disability or Motor Differences (such as weakness or motor planning difficulty) Extremely limited evidence of experience/ skill or motivation/attention. Lack of or extremely limited use of speech.
Options for Engagement
Recruit interest by providing choices:
  • Digital /talking representations, videos, talking calculators
  • Interactive websites

Increase personal relevance:

  • Use items that are familiar and reinforcing to students
  • Incorporate high preference items into story problems, as well as student names
  • Use items or activities of interest to represent within data sets

Provide tactile options for engagement:

  • Use different types of textures to raise edges of box side or cardstock
  • Use a variety of interesting textures and colors to create graphs
Recruit interest by increasing personal relevance:
  • Ensure that engaging and high preference content is visible and accessible to student
  • Use graphs that are large enough to accommodate the movements that the student is able to make
  • Pair student with another student without a physical impairment and have them complete hands on activities together
  • Use electronic or computerized voting software for students to gather and collect data
Recruit interest by providing choices:
  • Digital /talking representations, videos, talking calculator
  • Allow students to use technology to calculate mean, median, mode, and range (e.g., Microsoft Excel®)

Provide options for sustaining effort and persistence

  • Break tasks down to maximize student attention
  • Vary demands and materials to maintain interest
  • Provide reinforcement and incorporate interests as often as possible in data analysis activities.
  • Allow student to be in charge of sampling and data collection.

Increase personal relevance:

  • Use items that are familiar and reinforcing to students.
  • Incorporate high preference items into story problems, as well as student names
Recruit interest with modes of communication:
  • Allow students to choose items or subjects that are relevant to them via AAC devices, symbols, or eye gaze array


CCR & Standards for Mathematical Practice Table

Promoting Career and College Readiness Standards for Mathematical Practice
Career & College Readiness 1 Communicative Competence Standards for Mathematical Practice 1 Make sense of problems and persevere in solving them.
Career & College Readiness 2 Fluency in reading, writing, and math Standards for Mathematical Practice 2 Reason abstractly and quantitatively.
Career & College Readiness 3 Age appropriate social skills Standards for Mathematical Practice 3 Construct viable arguments and critique the reasoning of others.
Career & College Readiness 4 Independent work behaviors Standards for Mathematical Practice 4 Model with mathematics
Career & College Readiness 5 Skills in accessing support systems Standards for Mathematical Practice 5 Use appropriate tools strategically.
Standards for Mathematical Practice 6 Attend to precision.
Standards for Mathematical Practice 7 Look for and make use of structure.
Standards for Mathematical Practice 8 Look for and express regularity in repeated reasoning
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