The one sample t test is a good approach to answer such questions, representing a useful and flexible tool for drawing conclusions about sampled data when the variable is continuous. In this article, ...

The One-Sample t-Test task enables you to test whether the mean of a variable is less than, greater than, or equal to a specific value. The observed mean of the variable is compared to this value.

The t-test calculates the mean score of each of the two samples and compares the two sample means to infer if the two means of the parent populations (all male students and all female students) are ...

Learn how two-tailed tests determine statistical significance in hypothesis testing by evaluating if a sample differs from a population mean. Discover real-world applications.

This article shows how the pooled-variance two-sample t statistic arises from a Bayesian formulation of the two-sided point null testing problem, with emphasis on teaching. We identify a reasonable ...

Degrees of freedom are the maximum number of independent values that may vary in a data sample.