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. a. Calculate the EBM then construct a 95% confidence interval for the average of the age of people denied (round the values of the interval to 1 decimal place). b. If a manager claimed that the average age of people denied promotion was 51, would you agree or disagree based on your confidence interval? Explain your reasoning.

Respuesta :

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.

Step-by-step 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. =  [tex]\frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }[/tex]  ~ [tex]t_n_-_1[/tex]

where, [tex]\bar X[/tex] = sample average age = 47.0

            [tex]\sigma[/tex] = sample standard deviation = 7.2

            n = sample of people = 23

            [tex]\mu[/tex] = 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, [tex]\mu[/tex] is ;

P(-2.074 < [tex]t_1_0_0[/tex] < 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 < [tex]\frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }[/tex] < 2.074) = 0.95

P( [tex]-2.074 \times {\frac{s}{\sqrt{n} } }[/tex] < [tex]{\bar X-\mu}[/tex] < [tex]2.074 \times {\frac{s}{\sqrt{n} } }[/tex] ) = 0.95

P( [tex]\bar X-2.074 \times {\frac{s}{\sqrt{n} } }[/tex] < [tex]\mu[/tex] < [tex]\bar X+2.074 \times {\frac{s}{\sqrt{n} } }[/tex] ) = 0.95

(a) 95% confidence interval for [tex]\mu[/tex] = [ [tex]\bar X-2.074 \times {\frac{s}{\sqrt{n} } }[/tex] , [tex]\bar X+2.074 \times {\frac{s}{\sqrt{n} } }[/tex] ]

                                           = [ [tex]47-2.074 \times {\frac{7.2}{\sqrt{23} } }[/tex] , [tex]47+2.074 \times {\frac{7.2}{\sqrt{23} } }[/tex] ]

                                           = [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.