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Data Visualization Worksheet

This worksheet covers various data visualization techniques including bar graphs, pie charts, and scatter plots, suitable for Grade 10 math students.

Grade 10 Math Probability and StatisticsData Visualization
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Includes

Multiple ChoiceShort Answer2 CustomFill in the BlanksTrue / False

Standards

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

Topics

Data VisualizationStatisticsGraphsGrade 10
8 sections · Free to use · Printable
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Data Visualization Worksheet

Name:

Date:

Score:

Read each question carefully and provide your best answer. Show all your work when necessary.

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

a

Line graph

b

Scatter plot

c

Bar chart

d

Histogram

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

a

To show trends over time

b

To compare parts of a whole

c

To display the relationship between two quantitative variables

d

To represent hierarchical data

3. Explain the difference between a histogram and a bar chart.

4. When would it be more appropriate to use a line graph instead of a bar graph?

The following bar graph shows the number of students who prefer certain subjects.

Favorite Subjects0510152015Math20Science10English5History15Art

5. How many students prefer Science?

6. Which two subjects are preferred by an equal number of students?

7. A   graph is used to show how a whole is divided into parts.

8. When plotting data on a scatter plot, if the points generally rise from left to right, it indicates a   correlation.

9. The   axis on a graph typically represents the independent variable.

10. A line graph is suitable for showing the relationship between two variables at a single point in time.

T

True

F

False

11. A pie chart is effective for comparing exact quantities between different categories.

T

True

F

False

12. Plot the following data points on the scatter plot provided and describe the correlation:

Data: (1, 2), (2, 4), (3, 3), (4, 5), (5, 6)

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Describe the correlation: