Study Guide :: Unit 2
Sections 2.6.1‑4 How the Standard Normal Distribution Leads to Hypothesis Testing
Supplementary Resource Materials
(ways to test hypotheses about a population based on your sample data)
- The Theoretical Basis for Inferential Statistical Methods
The Standard Normal Distribution and Single Sample Hypothesis Testing
Hypothesis Tests about One Mean $\mu $ (variance ${{\sigma }^{2}}$ known)
The $p$‑value approach
The critical‑value approach
Hypothesis Tests about One Proportion $p$ (large sample)
Reference Materials
(Questions to consider when you are reading/writing a report containing the results of a single sample hypothesis test)
- What hypotheses are being tested? Are the hypotheses about a population mean, a population proportion, or some other population characteristic?
- Was the appropriate test used? Does the validity of the test depend on any assumptions about the sample or about the population from which the sample was selected? If so, are the assumptions reasonable?
- What is the $p$‑value associated with the test? Was a significance level reported (as opposed to simply reporting the $p$‑value)? Is the chosen significance level reasonable?
- Are the conclusions drawn consistent with the results of the hypothesis test?
(Introduction to Statistics & Data Analysis by Peck, Olsen & Devore, Cengage Learning, 2014, p. 549)