STAT 210Applied Probability and Statistics
- Faculty
- Mathematics
- Offered
- Fall, Winter
- Credit
- 0.5
- Last listed
- 1985–86
No longer offered. It’s in Waterloo’s scanned calendars from 1976–77 to 1985–86; the 1995–96 to 2023–24 calendars are on ucalendar.
Laws of probability. Discrete and continuous random variables. Uniform, binomial, Poisson, normal distributions. Sampling from a normal population. Student-t, chi-square, F distributions. Estimation and hypothesis testing. Simple linear regression. For students in Mechanical Engineering.
As printed in the 1977–78 to 1985–86 calendars, read by OCR; the scanned page is the original.
Requirements, as last listed
Prereq: MATH 110a/b
Cross-listed as M SCI 21.
Check it elsewhere
In the scanned calendars
How it read in each calendar from 1976–77 to 1985–86, 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.
1977–78 to 1985–86 9 calendars
Laws of probability. Discrete and continuous random variables. Uniform, binomial, Poisson, normal distributions. Sampling from a normal population. Student-t, chi-square, F distributions. Estimation and hypothesis testing. Simple linear regression.
For students in Mechanical Engineering.
Prereq: MATH 110a/b
Cross-listed as M SCI 21.
Offered Fall, Winter · 3 class, 1 tutorial hours a week · 0.5 credit
- 1977–78 PDF p. 367
- 1978–79 PDF p. 356
- 1979–80 PDF p. 370
- 1980–81 PDF p. 390
- 1981–82 PDF p. 401
- 1982–83 PDF p. 343
- 1983–84 PDF p. 376
- 1984–85 PDF p. 377
- 1985–86* PDF p. 389
* Listed that year without a description, or as not offered.
1976–77 1 calendar
Laws of probability, conditional probability, Bayes’ Theorem and independence. Discrete and continuous random variables. Mathematical expectation. Special cases of uniform, binomial, Poisson, normal distributions. Sampling froma normal population. Derived distributions. Various methods of estimating parameters and testing hypotheses. Simple linear regression.
3 hours lectures, | hour tutorial; one term
Note This course is for students in Mechanical Engineering, and is cross listed in Management Sciences as MS21.