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The text discusses how to perform a two sample t-test in Excel. This is a statistical test that compares the means of two independent samples to determine if there is a significant difference between them. The first step is to click on the Data tab and then select Data Analysis. From the popup window, choose t-Test: Two-Sample Assuming Equal Variances. Then, select the ranges of data to be used as input for the test. These can be identified by clicking on the icon and highlighting the desired data. The resulting summary statistics (Means, St. Dev, n) can then be used to write a formula for the t-value and, if possible, to look up the associated p-value. The article also mentions the option to use XLSTAT in the Insert Function button for different functions, and selecting the t-Test: Two-Sample Assuming Equal Variances option. Finally, the T.TEST function is mentioned as a way to determine the probability that two samples come from the same underlying population.

To perform a two-sample t-test in Excel, you can follow these general steps:

- Click on the Data tab in Excel.
- Select "Data Analysis" from the Analysis group. If you don't see "Data Analysis," you may need to load the Analysis ToolPak add-in.
- In the Data Analysis dialog box, choose "t-Test: Two-Sample Assuming Equal Variances" and click OK.
- In the t-Test: Two-Sample Assuming Equal Variances dialog box, specify the ranges for your two samples in the "Variable 1 Range" and "Variable 2 Range" fields.
- Choose your significance level (alpha).
- Click OK to run the test.

Alternatively, if you have the XLSTAT add-in, you can use the "Insert Function" button and select the "t-Test: Two-Sample Assuming Equal Variances" option.

After performing the t-test in Excel, you will obtain the test statistics, including the t-value and p-value. The p-value is used to determine the probability that the two samples come from the same underlying population. If the p-value is less than the chosen significance level (alpha), you can reject the null hypothesis in favor of the alternative hypothesis, indicating a significant difference between the mean resting heart rates of males and females.

If you have the specific data available and need further assistance with performing the t-test in Excel, feel free to provide the data, and I can guide you through the process step by step.

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