In: Statistics and Probability
In 2008, the per capita consumption of coffee in Country A was reported to be 19.37 pounds. Assume that the per capita consumption of coffee in Country A is approximately normally distributed, with a mean of 19.37 pounds and a standard deviation of 4 pounds. Complete parts (a) through (d) below.
a. What is the probability that someone in Country A consumed more than 13 pounds of coffee in 2008?
b. What is the probability that someone in Country A consumed between 6 and 10 pounds of coffee in 2008?
c. What is the probability that someone in Country A consumed less than 10 pounds of coffee in 2008?
d. 98% of the people in Country A consumed less than how many pounds of coffee? The probability is 98% that someone in Country A consumed less than ?? pounds of coffee.
Solution :
Given that ,
mean = = 19.37
standard deviation = = 4
a)P(x > 13 ) = 1 - p( x<13 )
=1- p [(x - ) / < (13-19.37) /4 ]
=1- P(z <-1.59 )
= 1 - 0.0559 = 0.9441
probability = 0.9441
b)
P( 6< x <10) = P[(6 - 19.37)/4 ) < (x - ) / < (10 - 19.37) /4 ) ]
= P( -3.34< z < -2.34 )
= P(z < -2.34 ) - P(z < -3.34 )
Using standard normal table
= 0.0096 - 0.0004 = 0.0092
Probability = 0.0092
c)
P(x < 10 ) = P[(x - ) / < (10-19.37) /4 ]
= P(z < -2.34 )
= 0.0096
probability =0.0096
d)
P(Z < z) = 0.98
z = 2.054
Using z-score formula,
x = z * +
x = 2.054 * 4+19.37
x = 27.59
Answer = 27.59 pounds