# Independent and dependent events and conditional probability

A free video tutorial from Krista King
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14:13:16 of on-demand video â€¢ Updated December 2021

• Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots
• Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
• Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
• Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
• Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
• Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
• Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values
• Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square