Introduction to Probability and Statistics

In depth, step by step solutions for functions of continuous random variables, joint distributions, marginal pdf and independence testing. Solves and sketches solutions for two variable distributions. Provides important definitions and formula conditions.

Lists and defines basic statistic terminology, such as types of studies, sampling methodologies, types of measurements, random and simple random sampling. Step by step solutions for summarizing data problems, portraying answers in charts and histograms.

In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.

In depth, step by step solutions for confidence intervals for a proportion and confidence interval for population mean. Introduces key theorems and analysis of necessary formulas.

In depth, step by step solutions on confidence intervals for one variance, confidence intervals for differences and independent sampling.

Test 2 review sheet. Concepts reviewed are functions of continuous random variables, joint distribution, confidence intervals for proportions, pdf and cdf.

In depth, step by step solutions for sample size, chi squred, assessing normality, and quantile-quantile (QQ) plot.

In depth, step by step solutions for quantile-quantile (QQ) plots, hypothesis testing, and hypothesis testing about means.

In depth, step by step solutions for conditional probability, multiplication rule, Bayes theorem, and independent events. Very comprehensive steps, definitions, and numerous, well constructed problems and examples.

In depth, step by step solutions for hypothesis testing when comparing two variances and hypothesis testing when comparing two means.