MAT 4379 Survey Sampling

3 units
Mathematics
Faculty of Science
Finite populations and finite population parameters, sampling design, simple random sampling, systematic sampling, Bernoulli sampling, stratified sampling, sample allocation, estimation of a domain total/mean, estimation of ratio, ratio estimator, post-stratified estimator, difference estimator, simple linear regression estimator, single-stage and two-stage cluster sampling, treatment of missing data. Analysis of data using statistical software packages.

Components:

Lecture

Requirements:

Prerequisites: MAT 2371 , MAT 3375 .

Previously Offered Terms:

Fall

French Equivalent:

All Professors
D+ Average (2.811)
Most Common: F (30%)
37 students

P

S

NS

F

D

C

B

A-

A+

David Haziza

Fall 2023 - A00

D+ Average (2.811)
Most Common: F (30%)
37 students

P

S

NS

F

D

C

B

A-

A+