In: Statistics and Probability
Credit scores are used by banks, financial institutions, and
retailers to determine one's trustworthiness, and their ability to
pay their credit card, when he/she is given a credit card. The
higher the credit score, the better the credit (and the more
financially trustworthy) a consumer is. In light of the current
economic downturn, an economist claims that the credit score of
Canadians between the ages of 25 to 40 has remained the same. Prior
to the current economic downturn, the mean credit score for
Canadians between the ages of 25 to 40 was 681681.
A random sample of ?=24n=24 Canadians between the ages of 25 to 40
was taken, the mean was found to be 688, with a standard deviation
of 16.6.
(a) Choose the correct statistical
hypotheses.
A.
?0:?⎯⎯⎯⎯⎯=681,??:?⎯⎯⎯⎯⎯≠681H0:X¯=681,HA:X¯≠681
B. ?0:?=681,??:?≠681H0:μ=681,HA:μ≠681
C.
?0:?>681,??:?<681H0:μ>681,HA:μ<681
D.
?0:?⎯⎯⎯⎯⎯≥681,??:?⎯⎯⎯⎯⎯<681H0:X¯≥681,HA:X¯<681
E.
?0:?⎯⎯⎯⎯⎯>681,??:?⎯⎯⎯⎯⎯≤681H0:X¯>681,HA:X¯≤681
F. ?0:?≥681??:?<681H0:μ≥681HA:μ<681
(b) Find a 93% confidence interval for ?μ. Use at
least 4 digits after the decmial if rounding.
Minimum lower bound = when ?=7%
Maximum upper bound = when ?=7%
Solution : -
( a )
The null and alternative hypothesis is ,
H0 : = 681
Ha : > 681
This is the right tailed test .
( b )
Given that,
Point estimate = sample mean =
= 688
Population standard deviation =
= 16.6
Sample size = n = 24
At 93% confidence level
= 1 - 93%
= 1 - 0.93 = 0.07
/2
= 0.035
Z/2
= Z0.035 = 1.812
Margin of error = E = Z/2
* (
/n)
= 1.812 * ( 16.6 / 24
)
= 6.1399
At 93% confidence interval estimate of the population mean is,
- E < < + E
688 - 6.1399 < < 688 + 6.1399
681.8601 <
< 694.1399
( 681.8601 , 694.1399 )
The 93% confidence interval estimate of the population mean is :
Minimum lower bound = 681.8601
Maximum upper bound = 694.1399