Every data scientist should be familiar with key statistical methods. Descriptive statistics summarize data with measures like mean and standard deviation. Inferential statistics allow predictions about a population based on sample data, including hypothesis testing. Regression analysis models relationships between variables, with linear and logistic regression being common techniques. ANOVA analyzes differences among group means, while Bayesian statistics update probabilities as more evidence becomes available.
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