Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Use of a microcomputer software package for statistical analyses in business and economics. Prerequisite: Mathematics 30-1 or 30-2. Notes: (1) Credit can be obtained in at most one of STAT 151, STAT 161, and STAT 235. (2) This course may not be taken for credit if credit has been obtained in obtained in STAT 222, STAT 266, STAT 276, KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210.
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
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LECTURE A1
(50195) |
215 |
2024-09-03 - 2024-12-09 (MWF)
12:00 - 12:50
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LECTURE A2
(51234) |
200 |
2024-09-03 - 2024-12-09 (MWF)
12:00 - 12:50
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LECTURE B1
(50196) |
220 |
2024-09-03 - 2024-12-09 (TR)
11:00 - 12:20
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| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
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LECTURE R1
(71133) |
200 |
2025-01-06 - 2025-04-09 (MWF)
10:00 - 10:50
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LECTURE S1
(71135) |
200 |
2025-01-06 - 2025-04-09 (TR)
12:30 - 13:50
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LECTURE S2
(75407) |
200 |
2025-01-06 - 2025-04-09 (TR)
12:30 - 13:50
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