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UNIT 8: HYPOTHESIS TESTING FOR MEANS (NUMERICAL DATA)

We explore Hypothesis Testing with numerical data. We will start off with a discussion of testing a claim about a population parameter and extend the discussion to comparing two independent population proportions.

 

Graph pf normal distribution with p-value shaded. P-value is the probability of an observed (or more extreme) result assuming the null hypothesis is true.
Image credit: horacek.com.au
TOPICS COVERED
  • Independent and Dependent Samples
  • Hypothesis Testing for a Mean
  • Testing the Difference Between Two Means – Independent and Dependent Samples
LEARNING OUTCOMES
  • Classify hypothesis tests by type: One sample, two samples, and Independent, Dependent (Matched Pair)
  • Conduct and interpret hypothesis tests for a single population mean and two population means, where population standard deviation is known or unknown
  • Use technology (Online/Graphing calculators, Excel, R, etc.) to perform hypothesis tests
  • Use p-values and statistical significance to make decisions and conclusions related to hypothesis testing

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