Statistical Hypothesis Testing

Statistical Hypothesis Testing is a method used in statistics to decide whether a hypothesis about a data sample is true or not. Coursera's skill catalogue teaches you these statistical methods to make data-driven decisions. You'll learn about the fundamental concepts of null and alternative hypotheses, types of errors, and the p-value. You'll also understand how to perform different statistical tests such as Z-test, T-test, Chi-square test, and ANOVA. This knowledge will equip you to analyze and interpret statistical results, essential skills for careers in data science, research, market analysis, and more.
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