|
| Section | Day | Time | Exam Date | Delivery |
|---|
| STAT 051 - Statistics Co-op Work Term #1 |
|---|
| Four-month co-op work term #1 approved by the department and arranged by the co-op coordinator. |
| 001 |
|
- |
|
|
| STAT 052 - Statistics Co-op Work Term #2 |
|---|
| Four-month co-op work term #2 approved by the department and arranged by the co-op coordinator.
*** Prerequisite: STAT 051 *** |
| 001 |
|
- |
|
|
| STAT 053 - Statistics Co-op Work Term #3 |
|---|
| Four-month co-op work term #3 approved by the department and arranged by the co-op coordinator.
*** Prerequisite: STAT 052 *** |
| 001 |
|
- |
|
|
| STAT 054 - Statistics Co-op Work Term #4 |
|---|
| Four-month co-op work term #4 approved by the department and arranged by the co-op coordinator.
*** Prerequisite: STAT 053 *** |
| 001 |
|
- |
|
|
| STAT 100 - Elementary Statistics for Applications |
|---|
| An introduction to statistical methods; descriptive statistics; the normal distribution; basic techniques of statistical inference; confidence intervals and hypothesis tests for population means and proportions; simple linear regression; and one-way analysis of variance.
***Prerequisite: Foundations of Math 20 or Precalculus 20 or Apprenticeship & Workplace Math 30 or MATH A30 or AMTH 091 or MATH 101***
*Note: STAT 100 and STAT 200 are designed to provide a year-long introduction to statistical methodology with a view towards applications and are not intended for majors in statistics, actuarial science, or any other program requiring a detailed knowledge of statistics. Students who receive credit for STAT 100 may not receive credit for STAT 160* |
| 001 |
M |
08:30am - 11:15am |
22-APR-24 |
RMTE |
| 002 |
TR |
7:00pm - 8:15pm |
23-APR-24 |
|
| 029 |
TR |
2:30pm - 3:45pm |
16-APR-24 |
HYBRM |
| 030 |
R |
1:00pm - 3:45pm |
18-APR-24 |
HYBRM |
| 101 |
T |
2:30pm - 5:15pm |
16-APR-24 |
|
| 282 |
R |
1:00pm - 3:45pm |
18-APR-24 |
HYBRM |
| 283 |
TR |
2:30pm - 3:45pm |
16-APR-24 |
HYBRM |
| 303 |
TR |
2:30pm - 3:45pm |
16-APR-24 |
HYBON |
| 314 |
R |
1:00pm - 3:45pm |
18-APR-24 |
HYBON |
| 501 |
M |
09:00am - 11:45am |
24-APR-24 |
|
| 991 |
W |
5:30pm - 8:15pm |
23-APR-24 |
|
| L01 |
TR |
08:30am - 09:45am |
23-APR-24 |
|
| S01 |
T |
11:30am - 2:15pm |
23-APR-24 |
RMTE |
| S02 |
T |
11:30am - 2:15pm |
23-APR-24 |
RMTE |
| S10 |
T |
11:30am - 2:15pm |
23-APR-24 |
RMTE |
| STAT 160 - Introductory Statistics |
|---|
| A comprehensive introduction to probability, probability distributions, sampling distributions, basic techniques of statistical inference, analysis of variance, linear regression, inference for categorical variables, and nonparametric statistics. ***Prerequisite: Precalculus 30, or MATH B30 and MATH C30, or MATH 127***
*Note: STAT 160 is designed to provide a comprehensive single semester introduction to statistical techniques and is intended for students majoring in statistics, actuarial science, or any other program requiring a detailed knowledge of statistics. Students who receive credit for STAT 160 may not receive credit for STAT 100 or STAT 200* |
| 991 |
TR |
7:00pm - 8:15pm |
27-APR-24 |
|
| 992 |
MWF |
5:30pm - 6:20pm |
27-APR-24 |
|
| STAT 200 - Intermediate Statistics for Applications |
|---|
| A continuation of STAT 100; inference for two categorical variables; basic multiple linear regression; two-way analysis of variance; introduction to nonparametric methods; statistical process control; introduction to survey design.
***Prerequisite: STAT 100***
*Note: STAT 100 and STAT 200 are designed to provide a year-long introduction to statistical methodology with a view towards applications and are not intended for majors in statistics, actuarial science, or any other program requiring a detailed knowledge of statistics. Students who receive credit for STAT 200 may not receive credit for STAT 160* |
| 991 |
TR |
4:30pm - 5:45pm |
23-APR-24 |
|
| L01 |
MW |
4:00pm - 5:15pm |
23-APR-24 |
|
| STAT 252 - Introduction to Statistical Inference |
|---|
| Sampling distribution theory and the Central Limit Theorem; large sample theory; methods of estimation and hypothesis testing including maximum likelihood estimation, likelihood ratio testing, and confidence interval construction. ***Prerequisite: STAT 251.*** |
| 001 |
MWF |
2:30pm - 3:20pm |
22-APR-24 |
|
| STAT 289 - Statistics for Engineers |
|---|
| Topics include probability, discrete and continuous distributions, the central limit theorem, confidence intervals and hypothesis tests for one and two samples, linear regression and correlation.
***Prerequisite: MATH 111***
*Note: Designed for engineering students. Students who received credit for STAT 289 may not receive credit for STAT 100, 160, or 200. |
| 001 |
TR |
1:00pm - 2:15pm |
18-APR-24 |
|
| STAT 300 - Statistical Learning and Predictive Modeling |
|---|
| Selected topics and techniques in statistical learning and predictive modeling, including linear models, logistic regression models, regression trees, classification models and statistical software.
***Prerequisite: MATH 122, STAT 252, and CS 110***
*Note: Students can receive credit for only one of ACSC 300 and STAT 300* |
| 001 |
TR |
10:00am - 11:15am |
18-APR-24 |
|
| 010 |
M |
10:30am - 11:20am |
|
|
| STAT 351 - Intermediate Probability |
|---|
| Multivariate random variables; conditioning; order statistics; the multivariate normal distribution; the Poisson process.
***Prerequisite: MATH 213 and STAT 251.*** |
| 001 |
MWF |
11:30am - 12:20pm |
29-APR-24 |
|
| STAT 357 - Sampling Theory |
|---|
| Simple random sampling; systematic sampling; stratified and cluster sampling; ratio and regression estimators.
***Prerequisite: STAT 252 and CS 110.*** |
| 001 |
TR |
2:30pm - 3:45pm |
16-APR-24 |
|
| 010 |
M |
12:30pm - 1:20pm |
|
|
| STAT 426 - Survival Analysis |
|---|
| Life tables; survival distributions; types of censoring; estimation of and interface for basic survival quantities; proportional hazards regression model; planning and design of clinical trials.
***Prerequisite: STAT 351.*** |
| 001 |
MW |
2:30pm - 3:45pm |
22-APR-24 |
|
| STAT 452 - Advanced Statstical Inference |
|---|
| Detailed theoretical development of statistical inference; statistical models; exponential families; sufficiency; completeness; properties of point estimation; testing hypotheses and confidence regions; asymptotic properties of estimators. ***Prerequisite: STAT 351 and STAT 252.*** |
| 001 |
MWF |
09:30am - 10:20am |
17-APR-24 |
|
| STAT 456 - Applied Stochastic Processes |
|---|
| An introduction to stochastic processes; Markov chains; Poisson processes; renewal processes; Brownian motion; simulation.
***Prerequisite: STAT 351.***
*Note: Credit can be earned for only one of STAT 456, ACSC 456, or STAT 856.* |
| 001 |
MWF |
12:30pm - 1:20pm |
24-APR-24 |
|
