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Normal Distribution Problem Step-by-Step Procedure Consider Normal Distribution Problem 2-37 on pages 62-63. We are given the following information: µ = 450, σ = 25 Find the following: P(X > 475) and P(460 < X < 470). Z= X −µ σ (a) Find P(X > 475) Mean =450 X = 475 The formula to compute the Z value appears above. We apply that formula to X − µ 475 − 450 25 the given data as follows: Z = = = =1 σ 25 25 A Z value of 1 means that X is located exactly one standard deviation to the right of the mean. We need to the find the area of the normal curve that corresponds to this Z value. Consult the Normal Distribution Table to find an area of 0.84134 that corresponds to Z = 1. We want to find P(X > 475) so this means we need the area to the right of X, which is: 1 - 0.84134 = 0.15866 Thus, P(X > 475) = 0.16. Normal Distribution Problem Page 1 of 2 (b) Find P(460 < X < 470) Mean= 450 X1= 460 X2= 470 This is a 2-step procedure where we find P(X < 470) and P(X < 460) and then compute the difference. For reference, the formula to compute the Z value appears to the right. Z= X −µ σ First, we apply that formula to find the Z value for X = 470 as follows: X − µ 470 − 450 20 Z= = = = 0 .8 σ 25 25 We consult the Normal Distribution Table to find the area of 0.78814 that corresponds to Z = 0.8. Second, we apply that formula to find the Z value for X = 460 as follows: X − µ 460 − 450 10 Z= = = 0 .4 = σ 25 25 We consult the Normal Distribution Table to find the area of 0.65542 that corresponds to Z = 0.4. Finally, we compute the difference between the 2 areas as follows: P(460 < X < 470) = P(X < 460 < X) - P(X < 470) = 0.78814 - 0.65542 = 0.13272. Thus, P(460 < X < 470) = 0.13. Discussion: What are the relationships between Z, X, and the area under the normal curve? Normal Distribution Problem Page 2 of 2