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One-Sample T-Test for Hypothesis Testing
Formula
The one-sample t-test determines whether a sample mean differs significantly from a known or hypothesized population mean. It is used when the population standard deviation is unknown and the sample size is relatively small.
The t-distribution accounts for the extra uncertainty from estimating the population standard deviation, making it wider-tailed than the normal distribution, especially for small samples.
Common use cases:
- Comparing a sample mean to a known value
- Pre/post treatment comparisons
- Quality control against a target value
Frequently Asked Questions
Dr. David Park
Applied Mathematician, PhD Mathematics
David holds a PhD in Applied Mathematics from MIT. He has published research on numerical methods and computational algorithms used in engineering and scientific calculators.
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