Credits
This is a 3-credit course.
Description
Applied Statistics for Data Analysis provides students with the basic knowledge of how scientific evidence is classified and how statistical procedures are utilized to analyze data. This encompasses common descriptive measures such as the mean, standard deviation, and uncertainty of measurements as well as comparative statistics that aim to compare two or more population means or perform simple linear regression. These basic statistical operations are important for every-day tasks conducted in an analytical laboratory. No matter which field the student will be working in, a basic understanding of the scientific method and the statistics used to analyze data is essential to the job performance.
Prerequisites
Please review our recommended course order.
Topics
| Module | Topic |
|---|---|
| Module 1 | Introduction to Scientific Evidence and Statistics |
| Module 2 | Measures of central tendency and the normal distribution |
| Module 3 | Probability |
| Module 4 | Discrete random variables and probability distributions |
| Module 5 | Estimation of mean and standard deviation and the normal distribution |
| Module 6 | Hypothesis testing for one or two population means, Student t-test |
| Module 7 | Hypothesis testing for small sample sizes and multinomial experiments, Fisher’s exact test |
| Module 8 | Analysis of Variance and multiple comparison tests |
| Module 9 | Simple linear regression |
Required Materials
Introductory Statistics
Author: Prem S. Mann
Publisher: Wiley; 10th edition (2020)
ISBN-13: 978-1119679639
ISBN-10: 111967963X
Recommended Materials
Introductory Statistics Student Study Guide
Author: Prem S. Mann
Publisher: Wiley; 7th edition (1/12/2010)
ISBN: 978-0470572405
Library Access
Distance Education and UF Online Students enjoy the same library privileges as on-campus students.
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