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## Statistics Undergraduate

## Undergraduate Courses

**STA 2023** - Statistics for Business & Economics.

Course Description: Statistics as a science; Descriptive Statistics; Probability; Random variables and probability distributions; Sampling distributions; Inferences based on a single sample - estimation with confidence; Inferences based on a single sample - tests of hypothesis; Inferences based on two samples. Prerequisites: High School Algebra.

**STA 2122** - Introduction to Statistics I.

Course Description: Statistics, Data, and Statistical Thinking?; Methods for Describing Sets of Data; Probability; Discrete Random Variables; Continuous Random Variables; Sampling Distributions; Inferences Based on A Single Sample: Estimation; Inferences Based on A Single Sample: Tests of Hypotheses. Prerequisite: High School Algebra

**STA 3033** - Introduction to Probability & Statistics for Computer Sciences.

Course Description: Introduction; Probability; Discrete Probability Distributions; Continuous Probability Distributions; Statistics and Sampling Distributions; Estimation; Hypotheses Testing. Prerequisite: Calculus II

**STA 3111** - Statistics I.

Course Description: Statistics, Data, and Statistical Thinking; Methods for Describing Sets of Data; Probability; Discrete Random Variables; Continuous Random Variables; Sampling Distributions; Inferences Based on A Single Sample: Estimation with confidence intervals; Inferences Based on A Single Sample: Tests of Hypothesis. Prerequisites: High School Algebra

**STA 3112** - Statistics II.

Course Description: Inferences Based on Two Samples: Estimation and Tests of Hypothesis; Analysis of Variance; Simple Linear Regression and Correlation; Analysis of Count Data; Non-Parametric Statistical Inference. Prerequisite: STA 3111

**STA 3123** - Introduction to Statistics II.

Course Description: Statistical Inference: Single Sample; Statistical Software; Statistical Inference: Two Sample; Analysis of Variance; Analysis of Count Data; Non-Parametric Statistical Inference. Prerequisite: STA 2122

**STA 3145** - Statistics for Health Professions.

Course Description: What is Statistics?; Organizing Data; Averages and Variations; Normal Distribution; Estimation; Hypothesis Testing; Regression and Correlation; Chi-Square Distribution. Prerequisites: High School Algebra

**STA 3163** - Statistics Methods I.

Course Description: Introduction, Descriptive Statistics; Probability; Random Variables and Probability Distributions; Sampling Distributions; Inferences about the Central Value of a Population; Inferences about the central Value of two Populations; Inferences about population variances; Categorical Data Analysis. Prerequisite: A course in statistics, or MAC 2312, or high school equivalent.

**STA 3164** - Statistics Methods II.

Course Description: Linear Regression and Correlation; Multiple Regression and the General Linear Model; Analysis of Variance; Multiple Comparison Procedure; Basic Experimental Designs; Analysis of Covariance. Prerequisite: STA 3163

**STA 4182** - Statistical Models.

Course Description: Introduction; Continuous Statistical Model; Dicrete Statistical Model; Transformation of Variables; Use of Empirical Distributions; Tolerance Analysis - System Evaluation; Testing Distributional Assumptions. Prerequisites: STA 3033 or STA 4321

**STA 4202** - Introduction to Design of Experiments.

Course Description: Introduction; Review of Parametric Statistical Inference; The Completely Randomized Design; Randomized Complete Block Design; Latin Square and Related Design; Factorial Experiments; 2(f) Factorial Experiments Fixed, Random, and Mixed Models; Nested and Nested-Factorial Experiments; Factorial Experiments and Restrictions on Randomization; Covariance Analysis. Prerequisites: STA 3163 or STA 3112 or STA 3123 or STA 4322.

**STA 4234** - Introduction Regression Analysis.

Course Description: Basic Linear Regression; Inferences in Regression Analysis; Residual Analysis; Simultaneous Inferences; Matrix Approach; Multiple Regression; Estimations and Inferences in Polynomial Regression; Special Topics in Regression Analysis; Selection of Independant Variables; Normal Correlation Model; Analysis of Variance. Prerequisites: STA 3164 or STA 3123 or STA 3112.

**STA 4321/2** - Mathematical Statistics I/II.

Course Description: Probability; Probability Functions; Probability Densities; Mathematical Expectations; Functions of Random Variables; Sampling Distributions; Estimation and Confidence Intervals; Properties of Point Estimators and Methods of Estimation; Hypothesis Testing; Regression and Correlation General Linear Model Formulation; Analysis of Variance; Non-Parametric Tests. Prerequisites: MAC 2313

**STA 4502** - Introduction Non-Parametric Methods.

Course Description: Tests Based on the Binomial Distribution; Contingency Table; Methods Based on Rank; Tests of the Kolmogrov-Smirnov Type; Run Test for Randomness. Prerequisites: A course in statistics

**STA 4664** - Statistics for Quality Control.

Course Description: This course has been designed for both upper level of undergraduate and graduate students for various discipline. The focus of this course is on both applications and theory. Modern statistical methods will be used for quality control and improvement. Prerequisite: First course in Math. Stat. (STA 4321), or Engineering Stat. (STA 3033), or Stat Method. (STA 3163), or STA 5166, or STA 6244, or STA 6247 or an equivalence course.