MATH 233Probability and Statistics
- Faculty
- Mathematics
- Last listed
- 1975–76
No longer offered. It’s in Waterloo’s scanned calendars from 1963–64 to 1975–76; the 1995–96 to 2023–24 calendars are on ucalendar.
An introduction to probability theory and Statistics, with emphasis on applications to practical problems, and On the logical principles involved. Several examples to be discussed require use of the computer. Topics from probability theory include the laws of probability; discrete and continuous random variables; expectation; and the central limit theorem. Topics from statistics include the use of relative likelihood in estimation; sufficiency; tests of significance; contingency tables; normal distribution theory; simple linear regression. 3 hours lectures, 2 hours tutorial Prerequisites: M120 or M130; M122 (a) or M132 (a).
As printed in the 1971–72 to 1975–76 calendars, read by OCR; the scanned page is the original.
Check it elsewhere
In the scanned calendars
How it read in each calendar from 1963–64 to 1975–76, newest first. The text is OCR of the scanned pages; years whose wording matches are shown once, from the clearest scan. Each year links to its page on uwloo and to that page of the scanned PDF.
1971–72 to 1975–76 5 calendars
An introduction to probability theory and Statistics, with emphasis on applications to practical problems, and On the logical principles involved. Several examples to be discussed require use of the computer. Topics from probability theory include the laws of probability; discrete and continuous random variables; expectation; and the central limit theorem. Topics from statistics include the use of relative likelihood in estimation; sufficiency; tests of significance; contingency tables; normal distribution theory; simple linear regression. 3 hours lectures, 2 hours tutorial Prerequisites: M120 or M130; M122 (a) or M132 (a).
1963–64 to 1970–71 8 calendars
Frequency distributions. Probability. Binomial. Normal, and Poisson laws. Sampling theory. Curve fitting. Distributions of Chisquared, F, and t. Hypothesis testing. Quality control. Regression theory. Analysis of variance. Introduction to experimental design.
1 lecture, 2 hours problems.