3.
The hypergeometric Distributions
a.
It is used when samples are taken from a finite population without being
replaced
b.
The probabilities of success change repeatedly because the sample space
becomes smaller after each selection.
Identify the rules for discrete probability
distributions.
1.
Each outcome in the distribution needs to be mutually exclusive with other outcomes in
the distribution.
2.
0 ≤ P(x) ≤ 1.
3.
The sum of the probabilities for all the outcomes needs to add up to 1.
Create binomial distributions from data & Excel

Calculate means and standard deviations of binomial
distributions.

Compute probability combinations.
Identify the characteristics of normal probability
distributions.
Empirical Rule: if a distribution follows a
bell-shape, symmetrical curve centered
around the mean, approximately 68%,
95%, and 99.7% of its value will fall
within one, two, and three standard
deviation above and below the mean.
A smaller standard deviation results in a
skinner curve that is tighter and taller
around the mean. By contract, a larger
standard deviation makes for a fatter
curve that is more spread out and not as
tall.
Calculate the probability of normal distributions.
Compute exponential probability and interpret
outcomes.

Determine the uses and method of calculating
uniform distributions.
P(x) = (X’-X)/(b-a)
The formula for calculating the mean of uniform distribution is μ =(a+b)/2
The formula for calculating the standard deviation is
ơ
= (b-a)/
√
12

Lesson 4 Problem: 1, 4, 5!

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- Fall '12
- Donnelly
- Normal Distribution, Probability theory, 68%, 84.2%, populationproportion