Zusammenfassung der Ressource
Discrete Probability
Distributions
- Binomial Distribution
- Example
Anmerkungen:
- Historical sales record that 40 percent of all customers who enter store make a purchase. What is the probability that two of the next three customers will make a purchase?
- how we
know it's
binomial
- 1) identical trials
- 2) TWO
outcomes are
possible in each
trial
- 3) probability stays constant
- 4) all trial outcomes are independent
- Sample Outcome Space
Anmerkungen:
- SSS
SSF
SFS
FSS
FFS
FSF
SFF
FFF
- We know there are 8
- Note
- 1
Anmerkungen:
- the 3 in this expression is the number of sample space out comes (ssf, sfs, and fss) that correspond to the EVENT "two of the next three customers make purchases.
- 2
Anmerkungen:
- .4 = p
.6= q is the probability that the customer does not make a purchase
- Calculation
- Definitions
- trials
- success
and
failure
Anmerkungen:
- (p)= success
(f) = failure
- sample
space
outcomes
- Formulas
- number of ways to
arrange x successes
among n trials
- Binomial Probability
- Rules
- Addition Rule
- not mutually Exclusive
- Mutually Exclusive
- Compliment Rule
Anmerkungen:
- If A is the event... A Compliment is the event in which it will NOT occur.
- Mean/ Variance/ SD