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Basic Probability Rules
Possible values for probabilities range from 0 to 1
The sum of all the probabilities for all possible outcomes is equal to 1
Addition rule - the probability that one or both events occur
Multiplication rule - the probability that both events occur together
Conditional probability - the probability of an event happening given that another event has already happend
Addition rule - the probability that one or both events occur
Mutually exclusive events: P(A or B) = P(A) + P(B)
Not mutually exclusive events: P(A or B) = P(A) + P(B) - P(A and B)
Mutuplication Rule - the probability that both events occur together
Independent events: P(A and B) = P(A) * P(B)
Dependent Events: P(A and B) = P(A) * P(B|A)
Conditional Probability - the probability of an event happening given that another event has already happened
P(A|B) = P(A and B) / P(B)
Bayes Theorem
Covariance formula
Correlation Formula’s
Formula 1:
Formula 2:
Skewness formula + interpretation
If Skewness > 0, it is a positive skew or right skew; tail is longer on the right side
If Skewness < 0, it is a negative skew or left skew; tail is longer on the left side
Hypergeometric Formula Probability
Use when calculating groups:
Committee of 40 people
15 Females, 25 Males
Calculate committee of 5 females and 5 males