x is N(6.12,2.18)
xbar is N (6.12, 2.18/sqrt(48)) = N(6.12,0.315)
want to find P(6.29 < x < 6.47).
z statistic = (x - mean)/SD is N(0,1)
apply transformation to x:
P(6.29 < x < 6.47) = P( (6.29- 6.12)/2.18 < z < (6.47 - 6.12)/2.18) = P(0.08 < z < 0.16) = P(z < 0.16) - P(z < 0.08) = 0.5636 - 0.5319 = 0.0317
want to find P(6.29 < xbar < 6.47)
z-statistic = (xbar - mean)/SE, where SE = standard error = 0.0315
apply transformation to xbar:
P(6.29 < xbar < 6.47) = P( (6.29- 6.12)/0.315 < z < (6.47 - 6.12)/0.315) = P(0.54 < z < 1.11) = P(z < 1/11) - P(z < 0.54) = 0.8665 - 0.8054 = 0.0611
For sample sizes greater than 30, the distribution of the sample means is normal, so the assumption of normality is not necessary for the previous problem.