Answer:
(a) 95% confidence interval for the average of the age of people denied is [43.9 , 50.1].
(b) Based on our confidence interval, we would disagree with the manager's claim.
Explanation:
We are given that a survey of the age of people denied promotion was conducted. In a random sample of 23 people the average age was 47.0 with a sample standard deviation of 7.2.
Assume this sample comes from a population that is normally distributed.
Firstly, the Pivotal quantity for 95% confidence interval for the population mean is given by;
P.Q. =
~
where,
= sample average age = 47.0
= sample standard deviation = 7.2
n = sample of people = 23
= true average of the age of people denied
Here for constructing 95% confidence interval we have used One-sample t test statistics as we don't know about population standard deviation.
So, 95% confidence interval for the population mean,
is ;
P(-2.074 <
< 2.074) = 0.95 {As the critical value of t at 22 degree
of freedom are -2.074 & 2.074 with P = 2.5%}
P(-2.074 <
< 2.074) = 0.95
P(
<
<
) = 0.95
P(
<
<
) = 0.95
(a) 95% confidence interval for
= [
,
]
= [
,
]
= [43.9 , 50.1]
Therefore, 95% confidence interval for the average of the age of people denied is [43.9 , 50.1].
(b) Based on our confidence interval, we would disagree with the manager's claim that the average age of people denied promotion was 51 because the interval doesn't contain the value 51.