7.5. Sums and Differences of Independent Random Variables http://www.ck12.org
TABLE7.23:(continued)
Outcome Probability
NSN ( 0. 76 )( 0. 24 )( 0. 76 ) =. 138624
SNN ( 0. 24 )( 0. 76 )( 0. 76 ) =. 138624
NSS ( 0. 76 )( 0. 24 )( 0. 24 ) =. 043776
SNS ( 0. 24 )( 0. 76 )( 0. 24 ) =. 043776
SSN ( 0. 24 )( 0. 24 )( 0. 76 ) =. 043776
SSS ( 0. 24 )( 0. 24 )( 0. 24 ) =. 013824TABLE7.24:
Number of Drivers Using a Cell Phone,x Probability,p
0 0. 438976
1 0. 415872
2. 131328
3. 013824Vocabulary
Expected Value
The mean of the probability distribution for the random variableX. The symbol for expected value isE(X)or
μX.Probability Distribution
The set of values that a random variable takes on, together with a means of determining the probability of each
value.Random Variable
A variable that takes on numerical values as the result of a chance.