Data Session 9: Random Sampling and Estimation

In this session, you will learn how to use results from a random sample to estimate characteristics of an entire population. To predict the accuracy of your estimates, you will investigate the variation in estimates based on repeated random samples from that population. Note 1

Part A:
Random Samples

Part B:
Selecting the Sample

Part C:
Investigating Variation in Estimates

Part D:
The Effect of Sample Size

Homework

In this session, you will estimate population quantities from a random sample. You will learn how to do the following:
•	Define an estimate based on sample data
•	Select a random sample
•	Describe sample-to-sample variation
•	Predict the accuracy of an estimate
•	Assess the effect of sample size on the accuracy of an estimate


	Throughout the session you will be prompted to view short video segments. In addition to these excerpts, you may choose to watch the full-length video of this session.


	Previously Introduced:		New in This Session:
	box plot distribution interval population random assignment sample stem and leaf plot		sample mean sample size sampling with replacement sampling without replacement

Next > Part A: Random Samples

Session 9: Index | Notes | Solutions | Video