In: Statistics and Probability
A college research group reported that 43% of college students aged 18-24 would spend their spring breaks relaxing at home in 2009. A sample of 165 college students was selected. Complete parts a through d below.
a. Calculate the standard error of the proportion.
σp = (Round to four decimal places as needed.)
b. What is the probability that less than 40% of the college students from the sample spent their spring breaks relaxing at home?
P(Less than 40% of the college students from the sample spent their spring breaks relaxing at home) = (Round to four decimal places as needed.)
c. What is the probability that more than 50% of the college students from the sample spent their spring breaks relaxing at home?
P(More than 50% of the college students from the sample spent their spring breaks relaxing at home) = (Round to four decimal places as needed.)
d. What is the probability that between 44% and 54% of the college students from the sample spent their spring breaks relaxing at home?
P(Between 44% and 54% of the college students from the sample spent their spring breaks relaxing at home) = (Round to four decimal places as needed.)
Solution
Given that,
p = 0.43
1 - p = 1 - 0.43 = 0.57
n = 165
a) = p = 0.43
= [p ( 1 - p ) / n] = [(0.43 * 0.57) / 165 ] = 0.0385
b) P( < 0.40)
= P[( - ) / < (0.40 - 0.43) / 0.0385]
= P(z < -0.78)
Using z table,
= 0.2177
c) P( > 0.50) = 1 - P( < 0.50)
= 1 - P(( - ) / < ( 0.50 - 0.43) / 0.0385)
= 1 - P(z < 1.82)
Using z table
= 1 - 0.9656
= 0.0344
d) P( 0.44 < < 0.54 )
= P[(0.44 - 0.43) / 0.0385 < ( - ) / < (0.54 - 0.43) / 0.0385 ]
= P(0.26 < z < 2.86)
= P(z < 2.86) - P(z < 0.26)
Using z table,
= 0.9979 - 0.6026
= 0.3953