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Course Details

 

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 workplace environments. The course is designed for students who seek an understanding of how statistics can be applied in areas that require the use 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
05/21/2022 - 11/04/2022 11/07/2022 - 01/01/2023 November Fall 2022 Session I 8 Week session
06/28/2022 - 12/02/2022 12/05/2022 - 01/29/2023 December Fall 2022 Session D 8 Week session
07/25/2022 - 12/30/2022 01/02/2023 - 02/26/2023 January Winter 2023 Session B 8 Week session
08/29/2022 - 02/03/2023 02/06/2023 - 04/02/2023 February Winter 2023 Session I 8 Week session
09/26/2022 - 03/03/2023 03/06/2023 - 04/30/2023 March Winter 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:$11.38
 

Previous Syllabi

Not current for future courses.