CDF and Inverse CDF Matching | Basic Statistics Unit 3 Normal Distributions

Description

CDF and Inverse CDF Matching has students use Google Sheets to calculate the cumulative distribution function (CDF) and the inverse CDF and then match the problem to the correct answer in a fun engaging way!

✅ This resource includes:

Student Worksheet
Answer Key

You will love how straight forward this activity makes teaching statistics to high school math classes!

This resource is ideal for grades 9-12 math classes.

🎉 Grab it now and start using this resource today!

*This is part of my Basic Statistics Unit 3 Normal Distributions Bundle.

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CDF and Inverse CDF Matching | Basic Statistics Unit 3 Normal Distributions

Name: CDF and Inverse CDF Matching | Basic Statistics Unit 3 Normal Distributions
Brand: Rich Thinking
SKU: 16249191
Price: 3.00 USD
Availability: InStock

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Highlights

Digital downloads

PDF

Grades

9th - 12th

Subjects

Algebra, Algebra 2, Statistics

Standards

CCSSHSS-ID.A.1

CCSSHSS-ID.A.2

CCSSHSS-ID.A.3

Description

✅ This resource includes:

Student Worksheet
Answer Key

You will love how straight forward this activity makes teaching statistics to high school math classes!

This resource is ideal for grades 9-12 math classes.

🎉 Grab it now and start using this resource today!

*This is part of my Basic Statistics Unit 3 Normal Distributions Bundle.

Report this resource to TPT

Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Questions & Answers

Standards

to see state-specific standards (only available in the US).

CCSSHSS-ID.A.1

Represent data with plots on the real number line (dot plots, histograms, and box plots).

CCSSHSS-ID.A.2

Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

CCSSHSS-ID.A.3

Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).