MM 207: Statistics

Introduces applied statistical methods and data analysis. Topics include descriptive statistics (mean, median, standard deviation), probability rules, discrete and normal probability distributions, central limit theorem, confidence intervals, one-sample and two-sample hypothesis testing, and linear regression analysis.

• Descriptive statistics and visual representation: histograms, boxplots, z-score transformations in MM 207
• Probability distributions: binomial, Poisson, and standard normal curve (z-distribution) calculations for Statistics
• Sampling distributions and Central Limit Theorem: standard error of the mean and confidence intervals in MM 207
• Inferential hypothesis testing: one-sample and two-sample t-tests, p-value decision rules, and linear regression at Purdue Global