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xeze [42]
3 years ago
9

A random sample of 8 fields of barley has a mean yield of 49.6 bushels per acre and standard deviation of 2.33 bushels per acre.

Determine the 99% confidence interval for the true mean yield. Assume the population is approximately normal. Step 1 of 2 : Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places.
Mathematics
1 answer:
agasfer [191]3 years ago
4 0

Answer:

99% confidence interval for the true mean yield is [46.718 , 52.482].

Step-by-step explanation:

We are given that a random sample of 8 fields of barley has a mean yield of 49.6 bushels per acre and standard deviation of 2.33 bushels per acre.

Firstly, the pivotal quantity for 99% confidence interval for the true mean yield is given by;

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

where, \bar X = sample mean yield = 49.6 bushels per acre

             s = sample standard deviation = 2.33 bushels per acre

             n = sample of fields of barley = 8

             \mu = true population mean

<em>Here for constructing 99% confidence interval we have used t statistics because we don't know about population standard deviation.</em>

So, 99% confidence interval for the true mean, \mu is ;

P(-3.499 < t_1_5 < 3.499) = 0.99  {As the critical value of t at 7 degree of

                                                freedom are -3.499 & 3.499 with P = 0.5%}

P(-3.499 < \frac{\bar X - \mu}{\frac{s}{\sqrt{n} } } < 3.499) = 0.99

P( -3.499 \times {\frac{s}{\sqrt{n} } } < {\bar X - \mu} < 3.499 \times {\frac{s}{\sqrt{n} } } ) = 0.99

P( \bar X -3.499 \times {\frac{s}{\sqrt{n} } < \mu < \bar X +3.499 \times {\frac{s}{\sqrt{n} } ) = 0.99

<u>99% confidence interval for</u> \mu = [ \bar X -3.499 \times {\frac{s}{\sqrt{n} } , \bar X +3.499 \times {\frac{s}{\sqrt{n} } ]

                                                 = [ 49.6 -3.499 \times {\frac{2.33}{\sqrt{8} } , 49.6 +3.499 \times {\frac{2.33}{\sqrt{8} } ]

                                                 = [46.718 , 52.482]

Therefore, 99% confidence interval for the true mean yield is  [46.718 , 52.482].

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