In: Statistics and Probability
The Wrigley Company, manufacturer of Skittles brand fruit candies, is considering adding a new flavor to the "rainbow" of flavors in a Skittles bag: passion peach. To test if America will like the new flavor, Skittles will do a taste test random sample of size n = 140 at a Peoria grocery store. In all of the other taste tests done so far in the United States in other markets, the proportion of the population who like the new flavor = 0.69. Use Table 1. |
a. |
Calculate the expected value and the standard error for the sampling distribution of the sample proportion of tasters in Peoria who will like the new flavor. (Round "expected value" to 2 decimal places and "standard deviation" to 4 decimal places.) |
Expected value = .69 | |
Standard error = .0391 | |
b. |
What is the probability that the sample proportion of the tasters in Peoria who like the new flavor is between 0.60 and 0.80? (Round final answer to 4 decimal places.) |
Probability |
c. |
What is the probability that the sample proportion or the tasters in Peoria who like the new flavor is less than 0.60? (Round final answer to 4 decimal places.) |
Probability |
Solution:
Given that,
n = 140
= 0.69
1 - = 1 - 0.69 = 0.31
So,
a ) = = 0.69
Expected value = 0.69
= ( 1 - ) / n
= 0.69 * 0.31 / 140
=0.0391
= 0.0391
Standard error = 0.0391
b ) p ( 0.60 < < 0.80 )
p ( 0.60 - 0.69 / 0.0391 ) < ( - / ) < ( 0.80 - 0.69 / 0.0391 )
p ( - 0.09 / 0.0391 < z < 0.11 / 0.0391 )
p ( - 2.30 < z < 2.81 )
p ( z < 2.81 ) - p ( z < - 2.30 )
Using z table
= 0.9975 - 0.0107
= 0.9868
Probability = 0.9868
c ) p ( < 0.60 )
p ( - / ) < ( 0.60 - 0.69 / 0.0391 )
p ( z < - 0.09 / 0.0391 )
p ( z < - 2.30 )
Using z table
= 0.0107
Probability = 0.0107