steps in hypothesis testing pdf

The goal of hypothesis testing is to determine the likelihood that a population parameter, such as the mean, is likely to be true. In this section, we describe the four steps of hypothesis testing that were briefly introduced in Section 8.1: Step 1: State the hypotheses. Step 2: Set the criteria for a decision. Step 3: Compute the test ...

LEARNING OBJECTIVES. After reading this chapter, you should be able to: CHAPTER 8. 8.1 Inferential Statistics and Hypothesis Testing. 8.2 Four Steps to Hypothesis Testing. 8.3 Hypothesis Testing and Sampling Distributions. 8.4 Making a Decision: Types of Error. 8.5 Testing a Research Hypothesis: Examples Using the z Test.

Step 1. Determine the null and alternative hypotheses. Null hypothesis: There is no clear winning opinion on this issue; the proportions who would answer yes or no are each 0.50. Alternative hypothesis: Fewer than 0.50, or 50%, of the population would answer yes to this question. The majority do not think Clinton

Thus, the first step for our analyses and reporting our results will always include stating the hypothesis. 2. Choose the inferential test (formula) that best fits the hypothesis. There are a variety of formulas, each of which best fits only certain kinds of data and, thus, each only fits certain hypotheses.

Introduction to Hypothesis Testing. OPRE 6301. Motivation . . . The purpose of hypothesis testing is to determine whether there is enough statistical evidence in favor of a certain belief, or hypothesis, about a parameter. Examples:

STEPS IN HYPOTHESIS TESTING. Step 1: State the Hypotheses. Null Hypothesis (H0) in the general population there is no change, no difference, or no relationship; the independent variable will have no effect on the dependent variable. Example.

The major purpose of hypothesis testing is to choose between two competing hypotheses about the value of a population parameter. For example, one hypothesis might claim that the wages of men and women are equal, while the alternative might claim that men make more than women.

The basic principles of hypothesis testing. How to use hypothesis testing to test a mean or proportion. The assumptions of each hypothesis-testing procedure, how to evaluate them, and the consequences if they are seriously violated. Define Type I and Type II errors. What is a Hypothesis?

Four Steps to Hypothesis Testing The goal of hypothesis testing is to determine the likelihood that a sample statistic would be selected if the hypothesis regarding a population parameter were true.

The four basic steps in any kind of hypothesis testing are: Determine the null hypothesis and the alternative hypothesis. Collect data and determine a test statistic. Determine how unlikely the test statistic would be if the null hypothesis were true. Make a decision based on the test statistic.