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Explanation of the five-step hypothesis testing model

Describe the five-step hypothesis testing model by commenting about each step and important aspects of the steps.

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The 5-step Hypothesis testing process

1. State the null (H0) and alternate (Ha or H1) hypotheses:

In hypothesis testing, null hypothesis refers to the hypothesis that researchers set up about population parameters. The tenability of the null hypothesis for the population is tested using data collected from a sample. Null hypotheses are commonly represented with the symbol H0. A null hypothesis can specify values for population parameters or relationships between population parameters. For example, a null hypothesis may state that a population mean is 90 (H0: µ = 90) or that the difference between two populations' means is larger than 40 (H0: µ1 - µ2 ≥ 40). Most commonly null hypotheses of no difference or no association are used (e.g., H0: µ1 = µ2).

Null hypotheses are tested against alternative hypotheses. If the null hypothesis is rejected, the alternative hypothesis holds true for the population. Alternative hypotheses are generally symbolized as Ha. For the null hypothesis of no difference between two population means (H0: µ1 = ...

Solution Summary

This solution is comprised of detailed explanations of each step in the five-step hypothesis testing model.

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