Hypothesis Testing Lecture (Elementary Statistics Module)

Hypothesis Testing Lecture (Elementary Statistics Module)

In this Hypothesis Testing lecture, we begin the study how to do different hypothesis testing in statistics. More details of this lecture objectives you may find bellow:

Here are the lecture objectives:

  1. Basics of Hypothesis Testing
    Develop the ability to identify the null and alternative hypotheses when given some claim about a population parameter (such as a proportion, mean, standard deviation, or variance)
    Develop the ability to calculate a test statistic, find critical values, calculate P-values, and state a final conclusion that addresses the original claim.
  2. Testing a Claim About a Proportion
    Develop the ability to use sample data to conduct a formal hypothesis test of a claim about a population proportion.
  3. Testing a Claim About a Mean
    Develop the ability to use sample data to conduct a formal hypothesis test of a claim made about a population mean.
  4. Testing a Claim About a Standard Deviation or Variance
    Develop the ability to use sample data to conduct a formal hypothesis test of a claim made about a population standard deviation or variance.

By purchasing this teaching resources, you will get:
Hypothesis Testing Lecture Power Point Presentation
File with the activities for all parts of the lecture agenda. Those activities might be used within seminar or lecture on Hypothesis Testing.
Test bank to Hypothesis Testing with all answers to them in order to assess your students. (Overall there are 3 Variants of tests with different questions and all answers to them)

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Created: Sep 22, 2019

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Hypothesis-Testing-Lecture-(Elementary-Statistics-Module)

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