Wiki Page, Math 13 - Perez Sandbox : Directions: Conduct a Hypothesis Test for a Difference in Two Population Means

Wiki Page
2026-01-17T21:14:56-08:00

To conduct the hypothesis test for a difference in two population means using StatCrunch, you will first need to identify how your data is formatted.

To conduct the hypothesis test:

Review each of the three types of data formats below.

Identify the data format that matches the format for your data.

Use the directions link to navigate to the appropriate StatCrunch directions.

(1) Sample data in one column, and another column indicates which category the observation belongs to. The table below is an example of data formatted this way. (directions)

StatCrunch data in one column

Score (Y) | Gender (X)
15 | Male
13 | Female
10 | Female
12 | Male
14 | Female
14 | Male
... | ...

Note: In this format, one column contains the explanatory variable, and one contains the response.

(2) Sample data in different columns— for each of the two samples, data appear in a column dedicated to the category for that sample. The table below is an example of data formatted this way. (directions)

SCORE

Male | Female
15 | 13
12 | 10
14 | 14
... | ...

(3) Summarized data—we are not given the actual data. Instead we are given the data summaries: sample size, sample mean and sample standard deviation for each of the two samples. The table below is an example of summarized data. (directions)

Summarized Data

| | |
20 - 29 yrs old | 712 | 83.4 | 18.7
75+ yrs old | 1001 | 78.5 | 19.0

Note: There is no need to upload a datafile to StatCrunch when using summary statistics.