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Learn the basics of probability, including unions, intersections, and conditional probability, in a 1-2 hour program from jbstatistics.
Dive into sampling distributions with jbstatistics in under an hour. Learn the concept, explore the distribution of the sample mean, and understand the Central Limit Theorem.
Learn discrete probability distributions with jbstatistics. Understand Bernoulli, binomial, hypergeometric, Poisson, geometric, negative binomial, and multinomial distributions in 2-3 hours.
Master the use of standard normal tables with jbstatistics' concise video tutorials. Learn to find areas and percentiles for different table types in under an hour.
Learn to derive and interpret confidence intervals for a single mean with jbstatistics. Master both Z and t methods, and understand factors affecting the margin of error.
Learn pooled-variance t tests, Welch t tests, and paired-difference t tests with jbstatistics in a 1-2 hour online program.
Learn inference for single and population proportions with jbstatistics. Master confidence intervals, hypothesis tests, and determine minimum sample size in 1-2 hours.
Learn the basics of one-way ANOVA, including formulas, examples, LSD confidence intervals, and P-value finding, in less than an hour with jbstatistics.
Learn simple linear regression with jbstatistics in a 1-2 hour program. Understand model parameters, assumptions, residual plots, slope inference, and data transformations.
Learn to conduct confidence intervals and hypothesis tests for 1 and 2 variances with jbstatistics. Ideal for those sampling from normally distributed populations.
Learn about continuous random variables and probability distributions with jbstatistics. Master integration, derive mean and variance, and explore various distributions in 1-2 hours.
Learn hypothesis testing, p-values, Type I/II errors, power calculations, and statistical significance with jbstatistics. Expect 2-3 hours of material.
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