In: Statistics and Probability
A livestock company reports that the mean weight of a group of young steers is 1077 pounds with a standard deviation of 66 pounds. Based on the model N(1077,66) for the weights of steers, what percent of steers weigh
a) over 1300 pounds?
b) under 1050 pounds?
c) between 1000 and 1200 pounds?
a) __ % of steers have weights above 1300 pounds.
(Round to one decimal place as needed.)
b) __ % of steers have weights below 1050 pounds.
(Round to one decimal place as needed.)
c) __ % of the steers weigh between 1000 and 1200 pounds.
(Round to one decimal place as needed.)
Solution :
Given that ,
mean = = 1077
standard deviation = = 66
a) P(x > 1300) = 1 - p( x< 1300)
=1- p P[(x - ) / < (1300 - 1077) / 66 ]
=1- P(z < 3.38)
Using z table,
= 1 - 0.9996
= 0.0004
0.04% of steers have weights above 1300 pounds.
b) P(x < 1050) = P[(x - ) / < (1050 - 1077) / 66]
= P(z < -0.41)
Using z table,
= 0.3409
34.1% of steers have weights below 1050 pounds.
c) P(1000 < x < 1200) = P[(1000 - 1077)/ 66 ) < (x - ) / < (1200 - 1077) /66 ) ]
= P(-1.17 < z < 1.86)
= P(z < 1.86) - P(z < -1.17)
Using z table,
= 0.9686 - 0.1210
= 0.8476
84.8% of the steers weigh between 1000 and 1200 pounds.