Zeyi Wang

An introductory course in the theory and methods of statistics. Descriptive measures, elementary probability, sampling, estimation, hypothesis testing, correlation and regression. Same course as STAT 2023 or STAT 2053.Prerequisite(s): MATH 1483 or higher, except MATH 1493, with a grade of 'C' or better; or an acceptable placement score (see mathplacement.okstate.edu).

Introductory statistics course for graduate students. Descriptive statistics, basic probability, estimation, hypothesis testing, p-values, analysis of variance, multiple comparisons, correlation and linear regression, categorical data analysis. Prerequisite(s): Graduate standing and MATH 1513.

Introductory statistics course for graduate students. Descriptive statistics, basic probability, estimation, hypothesis testing, p-values, analysis of variance, multiple comparisons, correlation and linear regression, categorical data analysis. Prerequisite(s): Graduate standing and MATH 1513.

Applications of elementary statistics, introductory experimental design, introduction to the analysis of variance, simple and multiple linear regression, nonparametric statistics, survey sampling and time series. Data analysis using Excel included.Prerequisite(s): STAT 2013, STAT 2023 or STAT 2053.

Introductory statistics course for graduate students. Descriptive statistics, basic probability, estimation, hypothesis testing, p-values, analysis of variance, multiple comparisons, correlation and linear regression, categorical data analysis. Prerequisite(s): Graduate standing and MATH 1513.

Introductory statistics course for graduate students. Descriptive statistics, basic probability, estimation, hypothesis testing, p-values, analysis of variance, multiple comparisons, correlation and linear regression, categorical data analysis. Prerequisite(s): Graduate standing and MATH 1513.