Topics included in this course are organizing data, central measures, measures of variation, distributions, sampling, estimation, conditional probability (Bayes' theorem), hypothesis testing, simple regression and correlation, and analysis of variation.
Logical Reasoning, Quantitative Reasoning
Students will explore mathematical abstraction using concrete examples.
||Gen Ed Area Dept:
|Course Format: Lecture||Grading Mode: Graded|
||Fulfills a Major Requirement for: (BIOL)(CADS)(CIS)(DATA-MN)(EDST-MN)(EDST)(INFO-MN)(MB&B)(NS&B)(PSYC)
||Past Enrollment Probability: Not Available
|Major Readings: Wesleyan RJ Julia Bookstore
Mendenhall, Beaver and Beaver, INTRODUCTION TO PROBABILITY AND STATISTICS, 13th Edition
|Examinations and Assignments: |
Two or three hour exams; a 3-hour final examination. Frequent homework and laboratory assignments.
|Additional Requirements and/or Comments: |
Prerequisites: None except an adequately strong background in high school mathematics. Students who need extra preparation are encouraged to take MATH107 prior to MATH132. Economics majors are required to take Econ 300 which has substantial overlap in course content. Students may not receive credit for MATH132 after taking ECON300.
|Instructor(s): Kramer,Richard Allen Times: ..T.R.. 02:40PM-04:00PM; Location: SCIE109; |
|Total Enrollment Limit: 40||SR major: 0||JR major: 0|| || |
|Seats Available: 4||GRAD: X||SR non-major: 10||JR non-major: 10||SO: 10||FR: 10|
|Drop/Add Enrollment Requests|
|Total Submitted Requests: 7||1st Ranked: 2||2nd Ranked: 0||3rd Ranked: 1||4th Ranked: 1||Unranked: 3|