Lesson Introduction

Lesson Outcomes

Conduct a Hypothesis Test for a single proportion \(p\):

  • State the null and alternative hypothesis.
  • Show the appropriate numerical and graphical summaries that support the hypothesis test.
  • Check the requirements for the hypothesis test.
  • Calculate the test-statistic and \(p\)-value of the hypothesis test.
  • Assess the statistical significance by comparing the \(p\)-value to the significance level, \(\alpha\).
  • Draw a correct conclusion for the hypothesis test.

Calculate and interpret a Confidence Interval for a single proportion \(p\):

  • Show the appropriate numerical and graphical summaries that support the confidence interval.
  • Check the requirements of the confidence interval.
  • Calculate the confidence interval for a given level of confidence.
  • Identify the point estimate and margin of error for the confidence interval.
  • Interpret the confidence interval for a given level of confidence.
  • Calculate a desired sample size given a level of confidence and margin of error (with or without a prior estimate of the population proportion).

Case Study:

Case Study Objective:


Design

Collect

Describe

Make Inference

Take Action


Note

Concepts and Definitions

Worked Example

Preparation Assignment

Homework Assignment



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