computing the test statistic and p-value in minitab express

Once you have defined your statistical hypotheses, the next step is to select your chosen Significance Level (α, alpha).

An example of performing a basic hypothesis test by Minitab support (2019).

Starting with your research question, examples are given on how to define a null and alternative hypothesis and the implications these have on the statistical test.

Take a look at this short guide from Laerd Statistics that outlines the process of hypothesis testing.

Practice writing null and alternative hypotheses with the Khan Academy.

A brief definition of Null and Alternative Hypotheses and the difference between one and two-tailed tests in About the null and alternative hypothesis by Minitab support (2019).

What are the differences between a one-tailed and two-tailed test? by UCLA Statistical Consulting.

H 1: An alternative hypothesis opposes the null hypothesis, often assuming an association, a difference or a relationship between variables.Ĭhoose either a one-tailed or two-tailed test.Ī two-tailed test looks for differences in either direction.Ī one-tailed test looks for differences in one direction only.įor additional information and examples take a look at the following resources: H 0: A null hypothesis usually assumes no association, no difference or no relationship between variables. Be sure to use what is expected of you in your subject area. The sections below detail the key stages of hypothesis testing.ĭefine your null and alternative hypothesis.ĭifferent terminology is used to refer to the Null (H o or H n) and Alternative hypothesis (H 1 or H a).

Reporting the results - linking back to your research question.Choose and perform an appropriate statistical test.Define the Null and Alternative Hypotheses.This will help you think about what type of data to collect and what type of statistical test is appropriate to use to answer your research question. Starting with your research question, consider how you might write this in terms of a testable statement or statements (see the null and alternative hypotheses). The sections below provide a range of resources to help you navigate the steps involved in performing inferential statistics from defining your hypothesis, to performing the statistical test and finally interpreting your or published results. These tests are performed on sample data, with the aim of inferring beyond the sample data to the wider population. Take a look at the following Minitab pages for an example of inferential statistics compared to descriptive statistics. Statistical tests are used as a way to quantify if there is an association, a difference or relationship between variables.

Computing the test statistic and p-value in minitab express