ST305 - Statistical Methods
- Prerequisites: MA 141 and either COS 100 or E 115
- Term & Frequency: Fall and Spring
- Student Audience: Undergraduate Statistics majors and minors
- Credit: 4 credits
- Recent Texts: Stats: Data and Models, 3rd edition by De Veaux, Velleman, Bock; Introduction to the Practice of Statistics, 7th edition by Moore and McCabe.
- Recent Instructors: Spencer Muse, Thomas Reiland
- Background and Goals: This course is an intense one-semester introduction to a wide spectrum of traditional statistical methods. The course serves as a gateway to subsequent courses required for a major or minor in Statistics and introduces students to basic SAS.
- Content: Graphical and numerical summaries of univariate and bivariate data; data gathering and strategies in sample surveys; probability, random variables, expected value and variance; binomial, geometric, Poisson, and normal probability models; sampling distribution models; confidence intervals and hypothesis tests for one and two proportions, for one and two means; correlation, simple linear regression, and statistical inference when variables are related; t, chi-square, and F distributions; analysis of variance.
- Alternatives: None
- Subsequent Courses: ST 412, ST 413, ST 421, ST 430, ST 431, ST 432, ST 435, ST 445.
SP 2017 Sections:
|001|| ||TBA|| - ||TBA||0/55 - Closed|
|002||Muse,Spencer V||00159 Kilgore Hall||12:50PM-02:30PM||TTh||48/50 - Open|