N/ACitations

7Readers

A parameter can be estimated from sample data either by a single number (a point estimate) or an entire interval of plausible values (a confidence interval). Frequently, however, the objective of an investigation is not to estimate a parameter but to decide which of two contradictory claims about the parameter is correct. Methods for accomplishing this comprise the part of statistical inference called hypothesis testing. In this chapter, we first discuss some of the basic concepts and terminology in hypothesis testing and then develop decision procedures for the most frequently encountered testing problems based on a sample from a single population.

CITATION STYLE

APA

Devore, J. L., & Berk, K. N. (2012). Tests of Hypotheses Based on a Single Sample (pp. 425–483). https://doi.org/10.1007/978-1-4614-0391-3_9

Mendeley helps you to discover research relevant for your work.

Already have an account? Sign in

Sign up for free