HOW BECOME A PROBABILITY & STATISTICS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:
This 163-lesson course includes video and text explanations of everything from Probability and Statistics, and it includes 45 quizzes (with solutions!) and an additional 8 workbooks with extra practice problems, to help you test your understanding along the way. Become a Probability & Statistics Master is organized into the following sections:
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 levels, type I and II errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square
