STAT
STAT 2108 (Applied Statistics)
This course is designed to provide the student with a working knowledge of descriptive statistics and the statistical treatment and interpretation of data.
Sampling; Methods for Describing Sets of Data; Discrete Probability Distributions; Normal Distribution; Inferences Based on a Single Sample: Estimation; Statistical Inference: Tests of Hypothesis; Analysis of Variance; Simple Linear Regression.
Prerequisite - MATH 1100 (Pre-Calculus) or MATH 1114 (Math for Mariners) or MATH 1115 (Pre-Calculus)
Lectures - 39 hours
Laboratories - 26 hours
STAT 4103 (Statistics - Water Quality)
This is a course designed to familiarize students with modern statistical methods and guidelines for the analysis of water quality/ biological data.
Introduction; Numerical Methods for Describing Sets of Data; Exploratory and Graphical Data Analysis; Probability and Probability Distributions; Inferences Based on a Single Sample: Point Estimation; Statistical Inference: Tests of Hypothesis; Analysis of Variance: One-Factor; Analysis of Variance: Two-Factors; Regression and Correlation.
Duration - 13 weeks
Lectures - 3 hours per week = 39 total hours
Laboratories - 2 hours once per week = 26 total hours
STAT 4106 (Applied Statistics)
This is course is designed to familiarize students with modern statistical methods and guidelines for the analysis of food safety/production data.
Introduction; Numerical Methods for Describing Sets of Data; Discrete Probability Distributions; Normal Distributions; Inferences Based on a Single Sample: Point Estimation; Statistical Inference: Tests of Hypotheses; Analysis of Variance; Regression and Correlation; Acceptance Sampling
Prerequisite - One university or college level introductory statistics course, or equivalent
Lectures - 39 hours
Laboratories - 26 hours
