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Probability
| Institution | Kabete National Polytechnic |
| Course | Diploma in Civil Eng... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Kiptoo Victor |
| File Type | |
| Pages | 29 Pages |
| File Size | 11.26 MB |
| Views | 384 |
| Downloads | 0 |
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Description
Normal distribution, Poisson distribution and Binomial distribution
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MATH 240: PROBABILITY AND STATISTICS I
A random variable is a rule that assigns a numerical value to each outcome in
the sample space. It maps events from the sample space S to the real numbers
X: X : S-R, that is, if S is the sample space with a probability measure and
X is a function defined with real values over the elements of S, then X is called
a random variable and associates a real number with each result in the sample
space.
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SMA 2332/STA 2302: PROBABILITY AND STATISTICS IV PAST PAPER
Institution:
Year: 2016/2017
Semester: 3rd Year, 1st Semester (3.1)
Continuous Random Variables & Probability Distributions
A random variable X is continuous if possible values comprise either a single interval on the number line or a union of disjoint intervals.
Example: If in the study of the ecology of a lake, X, the r.v. may be depth measurements at randomly chosen locations.
Then X is a continuous r.v. The range for X is the minimum depth possible to the maximum depth possible.
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