Descriptive data analysis. Calculus of Probability. Binomial, multinomial, Poisson, normal, beta, exponential, gamma, hypergeometric, and Weibull distributions. Sampling distributions. Estimation, testing hypotheses, goodness-of-fit tests, and one-way analysis of variance. Linear correlation and regression. Sampling. Quality control. Use of a microcomputer software package for statistical analyses in engineering applications. Prerequisite: MATH 100. Corequisite: MATH 101. Notes: (1) This course may not be taken for credit if credit has already been obtained in one of STAT 141, 151, 222, 265, 266; PSYCH 211, SCI 151 or SOC 210. (2) Intended for Engineering students. Other students who take this course will receive *3.0.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE C1
(40068) |
90 |
2024-07-01 - 2024-08-02 (MWF)
11:00 - 11:50
ETLC E1-013
|
Primary Instructor: Sharandeep Pandher
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LAB D1
(40069) |
30 |
2024-07-01 - 2024-08-02 (W)
14:00 - 15:20
CAB 341
|
|
|
LAB D3
(40071) |
30 |
2024-07-01 - 2024-08-02 (F)
14:00 - 15:20
CAB 341
|
|
|
LAB D4
(40072) |
30 |
2024-07-01 - 2024-08-02 (F)
14:00 - 15:20
CAB 345
|
|