Computer Science Study guides, Class notes & Summaries

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.

In depth, step by step solutions for discrete random variable and probability mass function. Provides numerous problems with comprehensive analysis, solutions, formulas, definitions and visual representation.

In depth, step by step solutions for hypothesis testing for comparing two variances, Goodness of Fit, chi-square, and Test of Independence.