In this short module, we build on the concept of sampling distributions to use samples to make inferences on the population. We will start by understanding inference and estimation, then learn to calculate confidence intervals. We will also look at factors and conditions that influence estimation.

In contrast to an orderly presentation such as in previous modules, most of the resources in this module cover the same key concepts in slightly different ways.

Upon completion of this module, students should be able to:

• Understand and be able to apply point estimation and confidence interval estimation
• Recognize inference on means versus inference on proportions
• Be able to calculate one-sided and two-sided confidence intervals for mean and proportion
• Understand the effect of sample size and other conditions on estimation, as well as understand and be able to calculate the sample size needed to achieve the desired confidence level

Module 3: Lesson 1:  Point and Confidence Interval Estimation

Student Learning Objectives:

Upon completion of this lesson, you will be able to:

• Understand and be able to apply point estimation and confidence interval estimation.
• Recognize inference on means versus inference on proportions.
• Be able to calculate one-sided and two-sided confidence intervals for mean and proportion.

Approximate time required to complete the readings (at 144 words/minute) and assignments for this module: 3 hours.

Required Learning Resources and Activities

Module 3: Lesson 2: Effect of Sample Size on Confidence Interval

Student Learning Objectives:

Upon completion of this lesson, you will be able to:

• Understand the effect of sample size and other conditions on estimation as well as understand and be able to calculate the sample size needed to achieve the desired confidence level.

Approximate time required to complete the readings (at 144 words/minute) and assignments for this module: 1 hour.

Required Learning Resources and Activities