Hypothesis Testing: T-Tests PDF
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Kwame Sakyi
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Summary
This document is lecture notes on hypothesis testing using t-tests. It covers concepts such as samples, chance, probability, and significance. The lecture notes also include prior knowledge about the central limit theorem (CLT) and sample size.
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Hypothesis testing: t-tests Kwame Sakyi, PhD MSPH PH5410 Competency To perform and interpret results of one sample and two- sample independent t-test Important Concepts Sample Same Different Chance Probability Significance Statistical significance Prior know...
Hypothesis testing: t-tests Kwame Sakyi, PhD MSPH PH5410 Competency To perform and interpret results of one sample and two- sample independent t-test Important Concepts Sample Same Different Chance Probability Significance Statistical significance Prior knowledge CLT n; population variance is known But what if
