Data Visualization Mastery

A Grade 11 Math worksheet focusing on understanding, interpreting, and creating various data visualizations including bar graphs, histograms, and scatter plots.

Grade 11 Math Probability and StatisticsData Visualization

Use This Worksheet

Includes

Multiple ChoiceFill in the Blanks3 Short AnswerTrue / FalseMatching

Standards

CCSS.MATH.CONTENT.HSS.ID.A.1CCSS.MATH.CONTENT.HSS.ID.A.2CCSS.MATH.CONTENT.HSS.ID.B.5

Topics

Data VisualizationStatisticsGraphsHigh School Math

9 sections · Free to use · Printable

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Data Visualization Mastery

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Date:

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Carefully read each question and provide your best answer. Show all your work where applicable. This worksheet assesses your understanding of various data visualization techniques.

1. Which type of graph is best suited for displaying the distribution of a single quantitative variable?

Bar Graph

Pie Chart

Histogram

Scatter Plot

2. What is the primary purpose of a scatter plot?

To show parts of a whole

To compare categories

To display relationships between two quantitative variables

To illustrate changes over time

3. A chart is used to show how a total is divided into different categories.

4. The axis on a bar graph typically represents the categories being compared.

5. When creating a histogram, the data is grouped into intervals called .

6. The bar graph below shows the favorite colors of a group of students. Answer the questions that follow.

a. How many students chose Green as their favorite color?

b. Which color is the least favorite among the students?

c. What is the total number of students surveyed?

7. A pie chart is effective for showing trends over time.

True

False

8. Histograms have gaps between bars, while bar graphs do not.

True

False

9. A researcher collected data on the number of hours students studied for a test and their corresponding test scores. The data is shown in the scatter plot below. Describe the relationship between study hours and test scores.

Match each data visualization with its primary use.

10. Bar Graph

a. Shows distribution of a quantitative variable

11. Histogram

b. Compares categories of qualitative data

12. Scatter Plot

c. Displays relationship between two quantitative variables

13. The following data represents the scores of 20 students on a Math test:

65, 72, 80, 85, 60, 78, 90, 92, 75, 68, 83, 70, 95, 77, 88, 62, 79, 81, 74, 86

Construct a frequency table with appropriate class intervals for this data. Then, draw a histogram below.

Draw your histogram here: