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Hypothesis testing

Hypothesis testing is the cornerstone of statistical analysis and the scientific method. If you are doing research or analyzing data, then you might be wanting to use statistics to draw your conclusions. Using tests like the t-test, ANOVA, chi squared and linear regression all require that you understand how using sample data can help make inference about a population. Statistical tests provide a p-value and a 95% confidence interval that can be used to accept or reject a null hypothesis. Join this channel to get access to perks:    / @gregmartin   This channel posts global health and public health teaching videos and videos about how to find the right job in global health. If you haven't already, please consider subscribing to this channel and becoming part of this community.