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
Factors for Constructing Variables Control Charts
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 | |
BUS 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 and Data Science | ||
| ST 115 | Introduction to a Data Science Toolkit with R and GitHub | 3 |
| Part C: Statistics Electives | ||
| Select 9 credits of ST electives. | 9 | |
The following courses can not be used as Statistics electives for this minor: ST 101, ST 114, ST 120, ST 121, ST 307, ST 308, ST 311, ST 312, ST 350, BUS 350, ST 370, ST 371, ST 372, ST 497, ST 499. | ||
| Total Hours | 18 | |
Statistics Major Degree Requirements
Plan Requirements
| Code | Title | Hours |
|---|---|---|
| Orientation a | ||
| COS 100 | Science of Change (verify requirement) | 0 |
| Communication & Advanced Writing | ||
| ENG 101 | Academic Writing and Research b | 4 |
| 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 | |
| Mathematics b, c | ||
| MA 141 | Calculus I | 4 |
| MA 241 | Calculus II | 4 |
| MA 242 | Calculus III | 4 |
| MA 305 | Introduction to Linear Algebra and Matrices | 3 |
| or MA 405 | Advanced Linear Algebra | |
Students considering graduate school are strongly encouraged to select MA 405. However, please note that MA 405 has additional prerequisites of MA 225 and either MA 305 or 306. These credits can count as Advised Electives (see section below). | ||
| Computer Programming & Statistical Computing b, c | ||
| ST 115 | Introduction to a Data Science Toolkit with R and GitHub | 3 |
| ST 215 | Data Management and Statistical Programming in SAS | 3 |
| ST 216 | Modern Statistical Computing with Python | 3 |
| Computational Statistics Electives | 3 | |
Select 3 credits from the Computational Statistics Elective list. | ||
| Statistics b, c | ||
| ST 120 | Fundamentals of Statistical Inference | 4 |
Students transferring into the Statistics major having already completed ST 312 or ST 372 with a grade of C- or better are not required to take ST 120. Your advisor will adjust credits on your degree audit appropriately. | ||
| ST 121 | Introduction to Probability and Mathematical Statistics | 3 |
Students transferring into the Statistics major having already completed ST 371 and ST 372 with grades of C- or better are not required to take ST 121. Your advisor will adjust credits on your degree audit appropriately. | ||
| ST 220 | Intermediate Statistical Methods | 3 |
| ST 240 | Principles of Data Collection | 3 |
| ST 323 | Linear Models | 4 |
| ST 421 | Introduction to Mathematical Statistics I | 3 |
| ST 422 | Introduction to Mathematical Statistics II | 3 |
| Select one of the following 3-credit courses in Survey Sampling or Experimental Design. | 3 | |
ST 431 | Introduction to Experimental Design | |
ST 432 | Introduction to Survey Sampling | |
| Advanced Statistics Electives b, c, e | 9 | |
Select 9 credits from the approved list of Advanced Statistics electives. | ||
| Advised Electives d | ||
| Advised Electives | 9 | |
A documented plan for the 9 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. | ||
| Natural Sciences | 11 | |
Students must complete 7 credits of GEP Natural Sciences and a Major Science Elective. | ||
| GEP Courses | ||
| GEP Humanities | 6 | |
| GEP Social Sciences | 6 | |
| GEP Health and Exercise Studies | 2 | |
| GEP Elective | 3 | |
| GEP Interdisciplinary Perspectives | 5 | |
| GEP Global Knowledge (verify requirement) | ||
| GEP Foundations of American Democracy (verify requirement) | ||
| World Language Proficiency (verify requirement) | ||
| Free Electives d | ||
| Free Electives (12 Hr S/U Lmt) | 6 | |
| Total Hours | 120 | |
- a
The orientation requirement is typically satisfied by a first-year course taught in the student's original NCSU major. For students entering as Freshmen Statistics majors that course is COS 100, and those 2 credits will appear in the GEP Interdisciplinary Perspectives slot of their degree audit. Students transferring from another college or university will have this requirement waived.
- b
A grade of C- or higher is required.
- c
A grade of D- or better can be used in one course to meet degree requirements of the Mathematics, Computer Programming & Statistical Computing, or Statistics sections of the degree audit. However, grades of C- or better are required for ST 115, ST 120, ST 121, MA 141, MA 241, and MA 305
- d
Students should consult their academic advisors to determine which courses fill this requirement.
- e
No more than 6 total credits from ST 497, ST 498, ST 499 may be used as Advanced Statistics Electives. If a student takes ST 497, ST 498, or ST 499 for less than 3 credits, that course may not be used for Advanced Statistics Elective credit. (e.g., a student may not take ST 499 for 1 credit three times and apply those 3 credits to Advanced Statistics Electives.) In addition, please note that ST 497 can only be taken one time.
Computational Statistics Electives
| Code | Title | Hours |
|---|---|---|
| ST 440 | Applied Bayesian Analysis | 3 |
| ST 442 | Introduction to Data Science | 3 |
| ST 446 | Intermediate SAS Programming with Applications | 3 |
| ST 452 | Statistical Learning and Data Analytics | 3 |
| ST 453 | Advanced Computing for Statistical Reasoning | 3 |
| MA 326 | Mathematical Foundations of Data Science I | 3 |
| CSC 442 | Introduction to Data Science | 3 |
Advanced Statistics Electives
| Code | Title | Hours |
|---|---|---|
| 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 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 446 | Intermediate SAS Programming with Applications | 3 |
| ST 451 | Sports Analytics | 3 |
| ST 452 | Statistical Learning and Data Analytics | 3 |
| ST 453 | Advanced Computing for Statistical Reasoning | 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