In: Statistics and Probability
Ralph’s bowling scores in a single game are normally distributed with a mean of 120 and a standard deviation of 10.
Lucky Lolly’s bowling scores in a single game a normally distributed with a mean of 100 and standard deviation of 15.
Solution:
For Ralph , = 120 and = 10
For Lolly , = 100 and = 15
1)
For Ralph ,
P(X > 165)
= P[(X - )/ > (165 - )/]
= P[Z > (165 - 120)/10]
= P[Z > 4.50]
= 1 - P[Z < 4.50]
= 1 - 1 ( use z table)
= 0.0000
For Lolly ,
P(X > 165)
= P[(X - )/ > (165- )/]
= P[Z > (165 - 100)/15]
= P[Z > 4.33]
= 1 - P[Z < 4.33]
= 1 - 1 ( use z table)
= 0.0000
Both are same likely
2)
For Ralph ,
P(X > 130)
= P[(X - )/ > (130 - )/]
= P[Z > (130 - 120)/10]
= P[Z > 1.00]
= 1 - P[Z < 1.00]
= 1 - 0.8413 ( use z table)
= 0.1587
For Lolly ,
P(X > 130)
= P[(X - )/ > (130- )/]
= P[Z > (130 - 100)/15]
= P[Z > 2.00]
= 1 - P[Z < 2.00]
= 1 - 0.9772 ( use z table)
= 0.0228
Ralph is more likely