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. This course may not be taken for credit if credit has been obtained in any STAT course, or in KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210.
Section | Capacity | Class times | Instructor(s) |
---|---|---|---|
LECTURE Q1
(11267) |
200 |
2024-01-08 - 2024-04-12 (MWF)
08:00 - 08:50
CCIS L2-200
|
Primary Instructor: Sharandeep Pandher
|
LECTURE R1
(11268) |
200 |
2024-01-08 - 2024-04-12 (MWF)
10:00 - 10:50
TEL 150
|
Primary Instructor: A Simchi
|
LECTURE R2
(11269) |
175 |
2024-01-08 - 2024-04-12 (MWF)
10:00 - 10:50
CCIS L2-200
|
Primary Instructor: Michael Kowalski
|
LECTURE S1
(11270) |
200 |
2024-01-08 - 2024-04-12 (TR)
12:30 - 13:50
ETLC E1-003
|
Primary Instructor: Mahdieh Aminian Shahrokhabadi
|
LECTURE S2
(16417) |
200 |
2024-01-08 - 2024-04-12 (TR)
12:30 - 13:50
C E1-60
|
Primary Instructor: Sharandeep Pandher
|
Section | Capacity | Class times | Instructor(s) |
---|---|---|---|
LECTURE A1
(30107) |
125 |
2024-05-06 - 2024-06-12 (MTWRF)
10:00 - 11:10
CCIS L1-160
|
Primary Instructor: Pankaj Bhagwat
|
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 | Instructor(s) |
---|---|---|---|
LECTURE A1
(50195) |
215 |
2024-09-03 - 2024-12-09 (MWF)
12:00 - 12:50
ED 2-115
|
|
LECTURE A2
(51234) |
200 |
2024-09-03 - 2024-12-09 (MWF)
12:00 - 12:50
T LB-002
|
|
LECTURE B1
(50196) |
220 |
2024-09-03 - 2024-12-09 (TR)
11:00 - 12:20
T L-12
|
|
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 | Instructor(s) |
---|---|---|---|
LECTURE R1
(71133) |
200 |
2025-01-06 - 2025-04-09 (MWF)
10:00 - 10:50
ETLC E1-003
|
|
LECTURE S1
(71135) |
200 |
2025-01-06 - 2025-04-09 (TR)
12:30 - 13:50
ETLC E1-003
|
|
LECTURE S2
(75407) |
200 |
2025-01-06 - 2025-04-09 (TR)
12:30 - 13:50
ETLC E1-007
|
|