Statistics Course Resources
Hey everybody! Welcome to my website! I hope you find this useful throughout the course. Bookmark this page to get to all the great resources I've got here. Think of this as your launching off point for everything for your class.
You can find course-specific information using the links above.
Below are links to resources that pertain to every class I teach, such as tables and my YouTube channel.
Useful Information Quick Links
Negative Z-Table
Positive Z-Table
T-Table
Chi-Squared Table
F-Tables
Other Resources
Here I have some links to other resources that I have developed over the years. I have a YouTube channel (subscribe if you like!).
Then also I have two playlists built out on YouTube. They tend to follow an ordinary statistics class sequence but they are generic since I've taught stats at multiple colleges in multiple states.
The last resource is a formula sheet with tables that is as close to "all-inclusive" as I have seen. From the textbook, Triola, Essentials of Statistics.
Statistics Minor Degree Requirements
Plan Requirements
| Code | Title | Hours |
|---|---|---|
| Part A: Introductory Statistics | ||
| Select one of the following options: | 6 | |
| Option 1: | ||
Select one of the following: | ||
ST 311 | Introduction to Statistics | |
ST 350 | Economics and Business Statistics | |
ST 370 | Probability and Statistics for Engineers | |
And take: | ||
ST 312 | Introduction to Statistics II | |
| Option 2: | ||
ST 371 | Introduction to Probability and Distribution Theory | |
ST 372 | Introduction to Statistical Inference and Regression | |
| Part B: Introduction to Statistical Programming in SAS | ||
| ST 307 | Introduction to Statistical Programming- SAS | 1 |
| Part C: Statistics Electives | ||
| Select ST electives at the 400 level to make total of Part A, B, and C at least 16 credits | 9 | |
| Total Hours | 16 | |
Statistics Major Degree Requirements
Plan Requirements
| Code | Title | Hours |
|---|---|---|
| Orientation | ||
| COS 100 | Science of Change (verify requirement) | 0 |
| Communication & Advanced Writing | ||
| Select one of the following Communications courses: | 3 | |
COM 110 | Public Speaking | |
COM 112 | Interpersonal Communication | |
COM 211 | Argumentation and Advocacy | |
| Select one of the following Advanced Writing courses: | 3 | |
ENG 331 | Communication for Engineering and Technology | |
ENG 332 | Communication for Business and Management | |
ENG 333 | Communication for Science and Research | |
| ENG 101 | Academic Writing and Research 1 | 4 |
| Mathematics & Sciences | ||
| MA 141 | Calculus I 1 | 4 |
| MA 241 | Calculus II 1 | 4 |
| MA 242 | Calculus III 1 | 4 |
| MA 225 | Foundations of Advanced Mathematics 1 | 3 |
| MA 305 | Introductory Linear Algebra and Matrices 1 | 3 |
| or MA 405 | Introduction to Linear Algebra | |
Students considering graduate school are strongly encouraged to select MA 405 | ||
| GEP Natural Sciences | 11 | |
Selected courses mustinclude (i) at least two laboratory classes and (ii) at least three 3- or 4-credit courses. | ||
| Computer Science/Statistical Computing | ||
| ST 114 | Statistical Programming 1 | 3 |
| ST 307 | Introduction to Statistical Programming- SAS 1 | 1 |
| ST 308 | Introduction to Statistical Programming - R 1 | 1 |
| ST 445 | Introduction to Statistical Computing and Data Management 1 | 3 |
| Select one of the following Computational Statistics courses: 1 | 3 | |
CSC 442 | Introduction to Data Science | |
ST 440 | Applied Bayesian Analysis | |
ST 442 | Introduction to Data Science | |
ST 446 | Intermediate SAS Programming with Applications | |
ST 452 | Statistical Learning and Data Analytics | |
ST 453 | Advanced Computing for Statistical Reasoning | |
ST 540 | Applied Bayesian Analysis | |
| Statistics | ||
| ST 311 | Introduction to Statistics 1 | 3 |
Students transferring into the Statistics major having already taken BUS 350, ST 350, ST 370, or ST 371 may substitute that course for ST 311. | ||
| ST 312 | Introduction to Statistics II 1 | 3 |
Students transferring into the Statistics major having already taken ST 372 may substitute that course for ST 312. | ||
| ST 421 | Introduction to Mathematical Statistics I 1 | 3 |
| ST 422 | Introduction to Mathematical Statistics II 1 | 3 |
| ST 430 | Introduction to Regression Analysis 1 | 3 |
| ST 431 | Introduction to Experimental Design 1 | 3 |
| ST 432 | Introduction to Survey Sampling 1 | 3 |
| ST Electives 400 Level 1 | 6 | |
| Advised Electives | ||
| Advised Electives 1,2 | 12 | |
A documented plan for the 12 credits of the Advised Electives will be created in conjunction with the student’s academic advisor. These courses may or may not be statistics courses. Students are encouraged to use Advised Elective credits to pursue a minor or second minor. Note that many courses used as Advised Electives might have prerequisites or other restrictions. | ||
| GEP Courses | ||
| GEP Humanities | 6 | |
| GEP Social Sciences | 6 | |
| GEP Health and Exercise Studies | 2 | |
| GEP US Diversity, Equity, and Inclusion | 3 | |
| GEP Interdisciplinary Perspectives | 5 | |
| GEP Global Knowledge (verify requirement) | ||
| World Language Proficiency (verify requirement) | ||
| Free Electives | ||
| Free Electives (12 Hr S/U Lmt) 2 | 9 | |
| Total Hours | 120 | |
- 1
A grade of C- or higher is required.
- 2
Students should consult their academic advisors to determine which courses fill this requirement.
- *
No more than 6 total credits from undergraduate research, independent study, credit by examination, or other similar types of courses may be used to meet program requirements (credit from AP exams or transfer credits is not included under this restriction). If you are unsure if a course falls into this category, please confer with your advisor.
ST Electives 400 Level
| Code | Title | Hours |
|---|---|---|
| ST 401 | Experiences in Data Analysis | 4 |
| ST 404 | Epidemiology and Statistics in Global Public Health | 3 |
| ST 405 | Applied Nonparametric Statistics | 3 |
| ST 412 | Long-Term Actuarial Models | 3 |
| ST 413 | Short-Term Actuarial Models | 3 |
| ST 421 | Introduction to Mathematical Statistics I | 3 |
| ST 422 | Introduction to Mathematical Statistics II | 3 |
| ST 430 | Introduction to Regression Analysis | 3 |
| ST 431 | Introduction to Experimental Design | 3 |
| ST 432 | Introduction to Survey Sampling | 3 |
| ST 433 | Applied Spatial Statistics | 3 |
| ST 434 | Applied Time Series | 3 |
| ST 435 | Statistical Methods for Quality and Productivity Improvement | 3 |
| ST 437 | Applied Multivariate and Longitudinal Data Analysis | 3 |
| ST 440 | Applied Bayesian Analysis | 3 |
| ST 442 | Introduction to Data Science | 3 |
| ST 445 | Introduction to Statistical Computing and Data Management | 3 |
| ST 446 | Intermediate SAS Programming with Applications | 3 |
| ST 491 | Statistics in Practice | 3 |
| ST 495 | Special Topics in Statistics | 1-6 |
| ST 497 | Professional Experience in Statistics | 1-3 |
| ST 498 | Independent Study In Statistics | 1-6 |
| ST 499 | Research Experience in Statistics | 1-3 |
"You miss 100% of the shots you don't take." - Wayne Gretzky - Michael Scott