MAT 2375 Introduction to Statistics

3 units
Mathematics
Faculty of Science
Introduction to the theory of statistical inference. Parametric point and interval estimation. Maximum likelihood estimation. Properties of estimators. Principles of hypothesis testing. Confidence intervals and tests for means and proportions (one and two sample). Introduction to linear models. Use of statistical software.

Components:

Laboratory
Lecture

Requirements:

Prerequisite: MAT 2371 . The courses MAT 2375 , MAT 2377 , MAT 2378, MAT 2379 , ADM 2303 , ECO 3150, HSS 2381 , PSY 2106 cannot be combined for units.

Previously Offered Terms:

Winter

French Equivalent:

All Professors
B Average (6.188)
Most Common: A+ (22%)
568 students

P

S

NS

F

D

C

B

A-

A+

Youssouph Cissokho

Winter 2024 - A00

C+ Average (4.900)
Most Common: A+ (20%)
30 students

P

S

NS

F

D

C

B

A-

A+

Hai Yan Liu

2 sections from Winter 2023 to Winter 2024

C+ Average (5.332)
Most Common: A+ (14%)
193 students

P

S

NS

F

D

C

B

A-

A+

Unknown Professor

Winter 2022 - A00

B+ Average (6.972)
Most Common: A+ (33%)
181 students

P

S

NS

F

D

C

B

A-

A+

Aaron Smith

Winter 2019 - A00

B Average (6.453)
Most Common: A+ (19%)
86 students

P

S

NS

F

D

C

B

A-

A+

Kelly Burkett

Winter 2018 - A00

B+ Average (6.692)
Most Common: A+ (19%)
78 students

P

S

NS

F

D

C

B

A-

A+