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Naily [24]
3 years ago
13

25 men from Pinellas County were randomly drawn from a population of 100,000 men and weighed. The average weight of a man from t

he sample was found to be 150 pounds with a standard deviation of 54 pounds, Assuming the survey follows a normal distribution, find the 95% confidence interval for the true mean weight of men.
Mathematics
1 answer:
Vikentia [17]3 years ago
6 0

Answer:

95% confidence interval for the true mean weight of men is [127.71 pounds , 172.30 pounds].

Step-by-step explanation:

We are given that the average weight of a man from the sample was found to be 150 pounds with a standard deviation of 54 pounds

25 men from Pinellas County were randomly drawn from a population of 100,000 men.

Firstly, the pivotal quantity for 95% confidence interval for the true mean is given by;

                             P.Q. = \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample average weight of a man = 150 pounds

            s  = sample standard deviation = 54 pounds

            n = sample of men = 25

<em>Here for constructing 95% confidence interval we have used One-sample t test statistics as we don't know about population standard deviation.</em>

So, 95% confidence interval for the true mean, \mu is ;

P(-2.064 < t_2_4 < 2.064) = 0.95  {As the critical value of t at 24 degree of

                                        freedom are -2.064 & 2.064 with P = 2.5%}  

P(-2.064 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 2.064) = 0.95

P( -2.064 \times }{\frac{s}{\sqrt{n} } } < {\bar X-\mu} < 2.064 \times }{\frac{s}{\sqrt{n} } } ) = 0.95

P( \bar X-2.064 \times }{\frac{s}{\sqrt{n} } } < \mu < \bar X+2.064 \times }{\frac{s}{\sqrt{n} } } ) = 0.95

<u>95% confidence interval for </u>\mu = [ \bar X-2.064 \times }{\frac{s}{\sqrt{n} } } , \bar X+2.064 \times }{\frac{s}{\sqrt{n} } } ]

                                            = [ 150-2.064 \times }{\frac{54}{\sqrt{25} } } , 150+2.064 \times }{\frac{54}{\sqrt{25} } } ]

                                            = [127.71 pounds , 172.30 pounds]

Therefore, 95% confidence interval for the true mean weight of men is [127.71 pounds , 172.30 pounds].

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