Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.

To conduct a t-test in Excel, use the T.TEST function or the "Data Analysis Toolpak." The T.TEST function syntax is:

=T.TEST(array1, array2, tails, type)

1. array1 and array2 represent the two data sets being compared.
2. tails specify whether it is a one-tailed (1) or two-tailed (2) test. A one-tailed test is used when testing for a difference in a specific direction, while a two-tailed test checks for any difference regardless of direction.
3. type specifies the type of t-test: paired (1), two-sample equal variance (homoscedastic) (2), or two-sample unequal variance (heteroscedastic) (3).

Alternatively, in the latest versions of MS Excel, one can use the "Data Analysis Toolpak." (activate it from Excel settings if not visible)

To do this:

1. Go to the "Data" tab, select "Data Analysis,"and choose "t-Test: Two-Sample Assuming Equal Variances,""t-Test: Two-Sample Assuming Unequal Variances,"or "t-Test: Paired Two Sample for Means," depending on the nature of the data.
2. Enter the input ranges for the two sets of data, and specify other parameters like the alpha level, which is typically set at 0.05 for a 95% confidence level.

The t-test results will include a p-value, which indicates whether the difference between the groups is statistically significant. A p-value less than 0.05 typically means that there is enough evidence to reject the null hypothesis, suggesting a significant difference between the two groups.

Using Excel's t-test functions and tools allows for quick and effective comparison of group means, which is useful in fields like healthcare, business, and education.