t Tests for One Mean: Introduction @jbstatistics
t Tests for One Mean: Introduction  @jbstatistics
Uploaded February 2013 | Updated September 2026, 1 hour ago
An introduction to t tests for one population mean. I briefly discuss when we use the test, and when we would use a z test instead. I also briefly discuss the hypotheses of the test, and the p-value for different alternatives. I then work through an example. (If you are comfortable with the basics of hypothesis testing, and understand the difference between t and z procedures from confidence intervals, then much of this video may be review.) If you are just looking for an example, it starts at 7:00.

The reaction time data is simulated data with the same summary statistics as found in:

Armstrong et al. (2012). Mild Dehydration Affects Mood in Healthy
Young Women. Journal of Nutrition, 142: 382-388.
t Tests for One Mean: IntroductionSimple Linear Regression: Inference on the Slope (An Example) (Old, fast version)Inference on the Slope (The Formulas)The Paired-Difference t Proceduret Tests for One Mean: Investigating the Normality AssumptionBinomial/Not Binomial: Some ExamplesAre mutually exclusive events independent?Overview of Some Discrete Probability Distributions (Binomial,Geometric,Hypergeometric,Poisson,NegB)What is a p-value?  (Updated and extended version)Introduction to the t Distribution (non-technical)Intervals (for the Mean Response and a Single Response) in Simple Linear RegressionThe Sampling Distribution of the Sample Variance
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t Tests for One Mean: Introduction

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