NO BS: Paired t-Test Excel Tutorial

Kevin Tolkoff demonstrates how to conduct a paired T-test in Excel, focusing on the Mac version. He explains the setup of the data analysis toolpack, the steps to perform the test, and how to interpret the results. Key points include the importance of equal sample sizes, understanding P-values, and common errors. The video concludes with additional tips and a comparison to independent T-tests.

What is the primary difference between the Mac and Windows versions of Excel when conducting a paired T-test?

• The interface may differ slightly, but the process is similar.

• The Mac version has more statistical options.

• The Windows version requires additional software.

• The Mac version does not support paired T-tests.

What is the first step in conducting a paired T-test in Excel?

• Calculating the mean of the data.

• Running an F-test first.

• Clicking on the 'Data' tab and selecting 'Data Analysis'.

• Entering the data into a new spreadsheet.

What should be the hypothesized mean difference in a paired T-test if there is no specific reason to choose otherwise?

• 10

• 0

• 1

• 5

Why is it important to have the same number of values in both groups for a paired T-test?

• To avoid using the data analysis toolpack.

• To make the test more complex.

• To increase the sample size.

• To ensure the test runs without errors.

What is generally considered the more conservative P-value in statistical tests?

• One-tailed P-value

• Two-tailed P-value

• P-value of 0.01

• P-value of 0.10

Under what condition might you choose to use a one-tailed P-value?

• When the data is non-numeric.

• When you expect one group to be larger than the other.

• When the sample sizes are unequal.

• When you have no prior expectations.

What statistical values must be reported at the very least when presenting results from a paired T-test?

• The raw data and sample size.

• The T statistic and F statistic.

• Only the mean and variance.

• Mean, standard deviation, P-values, and confidence level.