Consumers with credit scores below 600 have a very difficult time getting approved for car or mortgage loans. Historically 20% of people had a credit score below 600. Due to the recent financial crisis, the federal government is concerned that this proportion has increased. To test this hypothesis, a random sample of 500 people was chosen. From this sample, 114 people had credit scores less than 600. Using alpha equals 0.10
a. construct null and alternate hypothesis
b. determine critical value(s)
c. calculate test statistic
d. calculate P-value
a)
H0: p = 0.20
Ha: p > 0.20
b)
At 0.10 significance level,
Critical value = 1.2816
c)
Sample proportion = 114 / 500 = 0.228
Test statistics
Z = ( - p ) / sqrt [ p( 1 - p) / n ]
= ( 0.228 - 0.20) / sqrt [ 0.20 ( 1 - 0.20) / 500]
= 1.57
d)
p-value = P(Z > z )
= P(Z > 1.57)
= 1 - P(Z < 1.57)
= 1 - 0.9418
= 0.0582
Since p-value < 0.10 significance level, Reject H0.
Get Answers For Free
Most questions answered within 1 hours.