TPT
Total:
$0.00
One Sample Proportion Confidence Interval Practice
One Sample Proportion Confidence Interval Practice
One Sample Proportion Confidence Interval Practice
One Sample Proportion Confidence Interval Practice
One Sample Proportion Confidence Interval Practice
One Sample Proportion Confidence Interval Practice
Share

Description

This worksheet allows students to practice the skills associated with creating confidence intervals for one sample proportion. Graphical displays of the sample data are provided allowing for connections to reality. Students are required to create intervals at varying confidence levels. Students are also asked to compute the minimum sample size for a desired margin of error.

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.

One Sample Proportion Confidence Interval Practice

Michael Litke
6 Followers
$2.00

Highlights

Digital downloads
Grades icon
Grades
10th - 12th
Subjects icon
Subjects
Standards icon
Standards
Pages
3
Answer Key
Included
Teaching Duration
30 minutes

Description

This worksheet allows students to practice the skills associated with creating confidence intervals for one sample proportion. Graphical displays of the sample data are provided allowing for connections to reality. Students are required to create intervals at varying confidence levels. Students are also asked to compute the minimum sample size for a desired margin of error.

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.

Reviews

This product has not yet been rated.
Rated 0 out of 5

Questions & Answers

Loading

Standards

to see state-specific standards (only available in the US).
Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.
Loading