In: Statistics and Probability
Given: = 72, = 12.5
To find the probability, we need to find the Z scores first.
(a) Z = (X - )/ [/Sqrt(n)]. Since n = 1, Z = (X - )/
For P (68 < X < 76) = P(X < 76) – P(X < 68)
For P( X < 76)
Z = (76 – 72)/12.5 = 0.32
The probability for P(X < 76) from the normal distribution tables is = 0.6255
For P( X < 68)
Z = (68 – 72)/12.5 = -0.32
The probability for P(X < 68) from the normal distribution tables is = 0.3745
Therefore the required probability is 0.6255 – 0.3745 = 0.2510
(b) n =4, To calculate P (76 < X < 68) = P(X < 72) – P(X < 68)
For P( X < 76)
Z = (76 – 72)/[12.5/Sqrt(4)] = 0.64
The probability for P(X < 76) from the normal distribution tables is = 0.7389
For P( X < 68)
Z = (68 – 72)/[12.5/Sqrt(4)] = -0.64
The probability for P(X < a) from the normal distribution tables is = 0.2611
Therefore the required probability is 0.7389 – 0.2611 = 0.4778
(c) The normal distribution can be used since the original population has a normal distribution, and by the central limit theorem, if the original population is normally distributed, then distribution of sample mean is normal for any sample size.