Log in from a computer to take this course

You'll need to log in from a computer to start Learn Statistics with R. But you can practice or keep up your coding streak with the Codecademy Go app. Download the app to get started.

apple storegoogle store
Learn

Suppose that you own a chain of stores that sell ants, called VeryAnts. There are three different locations: A, B, and C. You want to know if the average ant sales over the past year are significantly different between the three locations.

At first, it seems that you could perform T-tests between each pair of stores.

You know that the p-value is the probability that you incorrectly reject the null hypothesis on each t-test. The more t-tests you perform, the more likely that you are to get a false positive, a Type I error.

For a p-value of 0.05, if the null hypothesis is true, then the probability of obtaining a significant result is 1 – 0.05 = 0.95. When you run another t-test, the probability of still getting a correct result is 0.95 * 0.95, or 0.9025. That means your probability of making an error is now close to 10%! This error probability only gets bigger with the more t-tests you do.

Instructions

1.

We have created samples store_a, store_b, and store_c, representing the sales at VeryAnts at locations A, B, and C, respectively. We want to see if there’s a significant difference in sales between the three locations.

Explore datasets store_a, store_b, and store_c by finding and viewing the means and standard deviations of each one. Store the means in variables called store_a_mean, store_b_mean, and store_c_mean. Store the standard deviations in variables called store_a_sd, store_b_sd, and store_c_sd.

2.

Perform a Two Sample T-test between each pair of location data.

Store the results of the tests in variables called a_b_results, a_c_results, and b_c_results. View the results for each test.

3.

Store the probability of error for running three T-Tests in a variable called error_prob. View error_prob.

Take this course for free

Mini Info Outline Icon
By signing up for Codecademy, you agree to Codecademy's Terms of Service & Privacy Policy.

Or sign up using:

Already have an account?