Quantitative statistical methodologies useful across disciplines. Analysis of variance, multiple and logistic regression, time series analysis, non-parametric methods, Bayesian statistics and decision analysis. Prerequisite: A grade of C or better in any of STAT 141, STAT 143, or STAT 211.
Dates: May 22 - June 30, 2023 Prereqs enforced by the system: C or better in STAT 141 or STAT 143 or STAT 211 or EC 170; Asynchronous online
This course serves as a quantitative methods course for Business Administration Students. However, it is open to STATS/MATH majors and minors. There are 5 modules covering: ANOVA, Regression, Time Series, Non-Parametric Testing, and Decision Analysis. There is an online homework component to review the pre-requisite material and practice the new material. There is a project required. A TI-83/84, JMP, and Excel is required for this course. Pre-requisites: STAT 141 or EC 170. We will be using an Edition (10th) of Ken Black’s “Business Statistics For Making Contemporary Decisions”, Wiley.
You will be expected to complete the homework (online and from the textbook), complete the case studies, discussion board and take all 5 exams. The usual for online courses (constant online presence) and keeping up with the work. You will need to purchase an access code for WileyPlus to complete this course.
Grading: Your grade for the course will be based on: • WileyPlus HW Quizzes (10%) • WileyPlus Tests (40%) • Case Studies / Projects (40%) • Discussion Board for Suggested Homework Problems from Textbook (10%) All assignments must be completed to receive a passing grade for the course.
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Note: These dates may change before registration begins.
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|STAT 141 OL3||Statistics: QR:Basic Statistical Methods 1||to||N/A||See Notes||3||61973|
|STAT 141 OL4||Statistics: QR:Basic Statistical Methods 1||to||N/A||See Notes||3||61974|
|STAT 143 OL1||Statistics: QR: Statistics for Engineering||to||N/A||See Notes||3||61556|
|STAT 151 OL1||Statistics: QR: Applied Probability||to||N/A||See Notes||3||61558|
|STAT 187 OL1||Statistics: QR: Basics of Data Science||to||N/A||See Notes||3||61749|
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