Since this problem involves the xbar distribution, the sample size, n, plays a role in the calculation of z . The size of the random samples affects the standard deviation of the xbar distribution. The standard error of the mean (also known as the standard deviation of the xbar distribution) is used instead of σ.
The standard error of the mean, σxbar = σ/√n
The formula for z is given as :
z = (xbar - µ) σ/√n = 20/√25
σ/√n
z = 97 - 100 20/√25 =20/5 = 4
20/√25
z = -3/4 = -0.75
Using the normal distribution table, z-0.75 = 0.2266
P(z<-0.75) = 0.2266
Therefore the probability that xbar < 97 is 0.2266 or 22.66%
Kay L.
07/30/17