5.6 - Randomization Tests in Minitab Express

5.6 - Randomization Tests in Minitab Express

In this lesson you have learned how to construct randomization distributions and conduct randomization tests for one group's proportion or mean using StatKey. Minitab Express can also be used to conduct randomization tests which you will learn here. 

Both of the examples below use the data set:

Which contains data collected from a representative sample of STAT 200 students at the beginning of the Fall 2016 semester. 

MinitabExpress  – Conducting a Randomization Test for a Proportion

Research question: Is the percent of all STAT 200 students who own a dog different from 50%?

  1. Open the data set:
  2. On a PC: Select STATISTICS > Resampling > Randomization Tests > 1-Sample Proportion
    On a Mac: Select Statistics > Resampling > Randomization Test for 1-Sample Proportion
  3. Double click the variable Dogs in the box on the left to insert the variable into the Sample box
  4. Use the default Event of Yes (i.e., the event of interest is owning a dog)
  5. Use the default Number of resamples, 1000
  6. For Hypothesized proportion enter 0.50
  7. Click on the Options tab
  8. The default Alternative hypothesis is Proportion ≠ hypothesized value, this is a two-tailed test
  9. Click OK

This should result in output similar to the output below. Note that your results may be slightly different due to random sampling variation.

Randomization Test Histogram for Dog Frequency

Video Walkthrough

Select your operating system below to see a step-by-step guide for this example.

MinitabExpress  – Conducting a Randomization Test for a Mean

Research question: Is there evidence that the mean height in the population of all STAT 200 students is different from 66 inches?

  1. Open the data set:
  2. On a PC: Select STATISTICS > Resampling > Randomization Tests > 1-Sample Mean
    On a Mac: Select Statistics > Resampling > Randomization Test for 1-Sample Mean
  3. Double click the variable Height in the box on the left to insert the variable into the Sample box
  4. Use the default number of resamples, 1000
  5. For Hypothesized mean enter 66
  6. Click on the Options tab
  7. The default Alternative hypothesis is Mean ≠ hypothesized value, this is a two-tailed test
  8. Click OK

This should result in output similar to the output below. Note that your results may be slightly different due to random sampling variation.

Randomization Test Histogram for Height Frequency

Video Walkthrough

Select your operating system below to see a step-by-step guide for this example.


5.6.1 - Example: Game of Life

5.6.1 - Example: Game of Life

A family is playing The Game of Life. This is a board game with a plastic spinner in the center. The spinner has 10 slots. The player who is the police officer collects \$5,000 every time a player spins a 10. Mom has been the police officer for the majority of the game and only twice has a player spun a 10! She wants to test if the spinner is fair. If the spinner is fair then it should result in a 10 in 10% of spins (i.e., \(p=\frac{1}{10}\)). While Mom was the police officer the wheel was spun 52 times. In those 52 spins, 2 were 10s for a sample proportion of \(\widehat{p}=\frac{2}{52}=0.038\). 

Let's use the information in this scenario to determine if there is evidence that the spinner is unfair (i.e., \(p \ne 0.10\)).

If the spinner is fair then \(p=0.10\). This statement include an equality so this is our null hypothesis. Our alternative hypothesis is that the spinner is not fair.

\(H_0: p=0.10\)
\(H_a: p \ne 0.10\)


5.6.2 - Example: Bread Sandwiches

5.6.2 - Example: Bread Sandwiches

Data concerning sales at one student-run cafe may be retrieved from:

And more information about this data set is available at:

We want to know if there is evidence that the mean number of bread sandwiches sold is greater than 4 in the population of all days. This scenario results in the following hypotheses:

  • \(H_0: \mu = 4\)
  • \(H_a: \mu > 4\)

5.6.3 - Example: Mean Height

5.6.3 - Example: Mean Height

This example uses data collected from World Campus STAT 200 students at the beginning of the Fall 2016 semester. You can download this Minitab Express file here:

Research question: Is the mean height in the population of all World Campus STAT 200 students different from 65 inches?

This research question translates to the following hypotheses:

  • \(H_0: \mu = 65\)
  • \(H_a: \mu \ne 65\)

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