STAT 205

STAT 205 (3) Introduction to Mathematical Statistics Sampling distribution theory. Likelihood. Parameter estimation. Confidence intervals and hypothesis testing; simple regression, analysis of variance and contingency table analysis. Credit will be granted for only one of STAT 205 or STAT 230. [3-0-0] Prerequisite: STAT 203. Please be aware that the STAT 203 and STAT 205 series is designed for students pursuing majors in Data Science, Mathematics, and Statistics. If your major falls under a different discipline, kindly refer to the Academic Calendar or reach out to an Academic or Program Advisor for guidance on selecting the most suitable Introductory Statistics/Probability courses.

Shading under the Normal curve

snorm for shaded normal density curve Adapted from code from here. Used in my lab here Description Plots the pdf of the normal distribution with mean equal to mean and standard deviation equal to sd and shades in the area under the curve as determined by q (either a scalar of a vector of length 2) Usage qnorm(p, mean = 0, sd = 1, lower.tail = TRUE, …) q vector of quantiles snorm <- function(q, mean=0, sd=1, rsd=4, lower.

Shading in regions on the Normal PDF

Here are some functions for shadding in the region of a normal distribution to visualize probabilities

Stat 230

Applied statistics for students with a first-year calculus background. Estimation and testing of hypotheses, problem formulation, models and basic methods in analysis of variance, linear regression, and non-parametrics. Descriptive statistics and probability are presented as a basis for such procedures.