Course Details
Course Code: MATH120 Course ID: 4894 Credit Hours: 3 Level: Undergraduate
This is an introductory statistics course designed to help students achieve a basic understanding of the statistical methods available to analyze and solve the wide variety of problems encountered in the workplace. This course is designed for students who seek an understanding of descriptive and inferential statistical methods. The emphasis of the course will be on the proper use and interpretation of statistical techniques. MATH120 is the recommended mathematics general education course for students who will be required to take additional statistics courses such as MATH302 Statistics as part of their program of study.
Course Schedule
| Registration Dates | Course Dates | Start Month | Session | Weeks |
|---|---|---|---|---|
| 10/31/2022 - 03/31/2023 | 04/03/2023 - 05/28/2023 | April | Spring 2023 Session B | 8 Week session |
| 11/28/2022 - 04/28/2023 | 05/01/2023 - 06/25/2023 | May | Spring 2023 Session I | 8 Week session |
| 12/26/2022 - 06/02/2023 | 06/05/2023 - 07/30/2023 | June | Spring 2023 Session D | 8 Week session |
| 01/30/2023 - 06/30/2023 | 07/03/2023 - 08/27/2023 | July | Summer 2023 Session B | 8 Week session |
| 02/27/2023 - 08/04/2023 | 08/07/2023 - 10/01/2023 | August | Summer 2023 Session I | 8 Week session |
| 03/27/2023 - 09/01/2023 | 09/04/2023 - 10/29/2023 | September | Summer 2023 Session D | 8 Week session |
Current Syllabi
After completing the course, the student should be able to:
CO-1. Explain the use and misuse of statistical concepts.
CO-2. Compute measures of central tendency and measures of dispersion to summarize data collected from real world scenarios.
CO-3. Solve basic probability problems.
CO-4. Apply probability distributions to real world problems.
CO-5. Employ inferential statistics to analyze sample statistics and relate them to the population.
CO-6. Explain the relationship between variables with simple linear regression techniques.
After completing the course, the student should be able to:
CO-1. Explain the use and misuse of statistical concepts.
CO-2. Compute measures of central tendency and measures of dispersion to summarize data collected from real world scenarios.
CO-3. Solve basic probability problems.
CO-4. Apply probability distributions to real world problems.
CO-5. Employ inferential statistics to analyze sample statistics and relate them to the population.
CO-6. Explain the relationship between variables with simple linear regression techniques.
| Book Title: | LimeSpring - access instructions provided inside the classroom |
| ISBN: | NA |
| Publication Info: | CLASS-LimeSpring |
| Author: | No Author Specified |
| Electronic Unit Cost: | $11.47 |