STAT 200 Exam 6 – 90+ Questions with Correct Answers | Hypothesis Testing, P-Values, Chi-Square, Regression | Statistics | 2025/2026

This document includes over 90 expertly verified questions and answers from STAT 200 Exam 6, tailored for the 2025/2026 academic year at USA University. It is an ideal review resource for students in introductory and intermediate statistics courses within majors such as Data Science, Psychology, Business Analytics, Public Health, and Social Sciences. This exam guide aligns with standard curriculum objectives for inferential statistics and statistical reasoning. Topics covered include the fundamentals of hypothesis testing, interpreting p-values, statistical significance, null and alternative hypotheses, confidence intervals, bootstrap and randomization distributions, and the distinction between estimation and testing. Additional content dives into Type I and Type II errors, the logic behind standard error, sample size impact, and interpreting output from dot plots, histograms, scatterplots, and boxplots. Advanced statistical concepts addressed include Chi-Square tests for association (with categorical variables), calculation of expected counts, interpretation of degrees of freedom, and the four-step testing method. It also covers linear regression analysis, slope interpretation, residual calculation, extrapolation risks, and when to use t-tests versus z-tests for means and proportions. Structured to reinforce classroom knowledge and support independent exam prep, this document is essential for mastering statistical thinking, interpretation, and application. Keywords: hypothesis testing, p-values, confidence intervals, chi-square test, regression, bootstrap distribution, randomization, standard error, sample size, t-test, z-test, slope interpretation, dotplot, boxplot, scatterplot, linear regression, null hypothesis, statistical significance, type I error, type II error