Using the Assistant menu for a 1-Sample t-test

The Assistant menu offers us an alternative route to a t-test. In general, the Assistant tools offer us a lot more guidance in both the use and interpretation of results than the Stat menu. The Assistant tools are designed to be more accessible and because of this, there are less options to choose from, compared to the equivalent tool in the Stat menu.

Here, we will use the same economic results as the 1-Sample t-test.

Getting ready

The data for this example is from the UK GDP figures from 2009 to 2013. Enter the data shown in the following screenshot into the worksheet. Alternatively, open the data UK GDP file1.mtw file.

Getting ready

How to do it…

The following steps will use the Assistant tools to run the 1-Sample t-test:

  1. In the Assistant menu, select Hypothesis Tests….
  2. From the screen that asks us what our objective is, select 1-Sample t from the Compare one sample with a target field.
  3. In the Data column: field, enter the percentage change results.
  4. Enter 0 for the Target field.
  5. Under What do you want to determine?, select Is the mean of '%change' different from 0.
  6. Click on OK.

How it works…

The Assistant tool starts from a selection screen to guide us to a test. If we wanted more information on the presented choices, we would click on the top field under the first objective screen. Here, we would be presented with a decision tree to help us pick the right tool. Further guidance is found within each decision diamond.

Tip

When entering the fields in the 1-Sample t-test, the text for one-sided or two-sided tests is updated to reflect the column name being used and target entered.

By entering a difference that is of practical importance to us, the power of the test is calculated with the results and the suggested alternative sample sizes.

The output that is generated comprises several graphical report cards. The first page contains any warnings about the study. The second page contains diagnostic checks, a time series plot, and the power study. The last page contains the results of the t-test with an individual value plot, means, and confidence intervals, plus comments on whether we can conclude that the mean is different from the target or not.

See also

  • The Comparing the population mean to a target with a 1-Sample t-test recipe
  • The Using the Power and Sample Size tool for a 1-Sample t-test recipe
  • The Finding critical t-statistics using the probability distribution plot recipe
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