This course is an introduction to the basic principles of statistics and procedures for data analysis. Topics include gathering data, displaying and summarizing data, examining relationships between variables, probability models, sampling distributions, estimation and significance tests, inference for means and proportions in one and two sample situations, contingency tables, and simple linear regression. Students register in a computer lab corresponding to their area of interest.
Please note: You must register separately in lecture and lab/tutorial components if applicable.
Levels:  Undergraduate
Campus:   Prince George
Schedule Type:  Laboratory
Instructional Method: On campus, face to face
Credits:   0.000
Precluded:
MATH-240
MATH-242
MATH-341
MATH-342
MATH-371
Students cannot receive credit for the course being described and the course(s) listed as Precluded
Registration Availability
Capacity
Actual
Remaining
Total Seats ( Including Reserved Seats )
45
39
6
Waitlist Seats
0
Green prerequisites must be completed before registering in this course
Red prerequisites can be taken concurrently with this course
Magenta co-requisites must be taken at the same time as this course