In this module we will explore tests of hypotheses about a population parameter. Specifically, we will learn about testing a claim about a population mean and a population proportion. Learning Objectives:Identify the parameter of the populationSpecify the null and alternative hypotheses for the parameterType I and Type II errorsLevel of significanceTest statistic and sampling distribution of a testP-value of a test and its interpretationCritical valueConclusion of a test, Statistical significanceTest of hypothesis for a population meanTest of hypothesis for a population proportionTextbook Material - Chapter 9 – Hypothesis Testing with One Sample – pages 501 - 511
Statistics and Probability
Community College / Lower Division, College / Upper Division
Ohio Transfer Module Mathematics, Statistics, and Logic (TMM) Standards
Core TMM010 Outcome: Core skill demonstrated by students who successfully complete an Introductory Statistics Course
Standard: Given a research question, formulate null and alternative hypotheses. Describe the logic and framework of the inference of hypothesis testing. Make decision using p-value and draw appropriate conclusion. Interpret statistical significance and
recognize that statistical significance does not necessarily imply practical significance. Perform hypothesis testing with at least one test related to quantitative variable (e.g. t-test for mean, test for linear correlation) and at least one test related to qualitative variable (e.g., test for one population proportion and chi-square test for independence).