ADMN 2506 Formulas
Probabilities
P(A or B) = P(A) + P(B) P(A and B)
P(A|B) = P(A and B) / P(B)
Independent if:
P(A and B) = P(A) * P(B)
Bayes Theorem:
P(B|A) =
P(A|B) * P(B)
P(A|B) * P(B) + P(A|B2) * P(B2) + .
Contingency Tables
A
A'
B
P(A and B)
P(A' and
1. A study of 200 respondents who were between the ages of 36 and 50 and 200 respondents who were
3over age 50 asked where people got their news from. Of the 200 respondents who were between ages
36 and 50, 82 got their news primarily from newspapers. Of
Chapter 8
P(A or B) = P(A) + P(B) P(A and B)
P(A|B) = P(A and B) / P(B)
Independent if:
P(A and B) = P(A) * P(B)
Bayes Theorem:
P(B|A) =
P(A|B) * P(B)
P(A|B) * P(B) + P(A|B2) * P(B2) + .
Chapter 9
Binomial distributions:
- Use when given probability of su
Chapter 10
Finding probabilities using sampling distributions
For proportions:
For means:
Chapter 11
Confidence Interval for proportions one sample:
To find Z = Normsinv(1-Confidence)/2)
Confidence Interval for the difference of proportions two samples:
C