The variance for weight in a particular herd of cattle is 484 pounds2. The mean weight is 562 pounds. How heavy would an animal have to be if it was in the top 2.5% of the herd? The bottom 0.13%?
can someone explain how to do this? Thanks
Mean = 862 pounds
Variance = 484 pounds2
Standard deviation = = 22 pounds
Assuming the data is normally distributed, P(X < A) = P(Z < (A - mean)/standard deviation)
Let an animal be of weight T to be in top 2.5%
P(X > R) = 0.025
P(X < T) = 1 - 0.025
P(Z < (T - 862)/22) = 0.975
Take Z value corresponding to 0.025 from standard normal distribution table.
(T - 862)/22 = 1.96
T = 905 pounds
Note: The ans would be 905 pounds if the empirical formula is used. i.e., z value is taken as 2
Let an animal be of weight B to be in bottom 0.13%
P(X < B) = 0.0013
P(Z < (B - 862)/22) = 0.0013
(B - 862)/22 = -3.01
B = 796 pounds
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