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tia_tia [17]
4 years ago
15

Interpret the results. Select the correct choice below and fill in the answer box to complete your choice. ​(Type an integer or

a decimal. Do not​ round.) A. nothing​% of all random samples of people from the population will have a mean driving distance to work​ (in miles) that is between the​ interval's endpoints. B. It can be said that nothing​% of the population has a driving distance to work​ (in miles) that is between the​ interval's endpoints. C. With nothing​% ​confidence, it can be said that most driving distances to work​ (in miles) in the population are between the​ interval's endpoints. D. With nothing​% ​confidence, it can be said that the population mean driving distance to work​ (in miles) is between the​ interval's endpoints.
Mathematics
1 answer:
FrozenT [24]4 years ago
5 0

Answer:

With 99 %  confidence, it can be said that the population mean driving distance to work ​ (in miles) is between the​ interval's endpoints [19.91 miles, 31.49 miles] .

Step-by-step explanation:

<u>The complete question is</u>: In a random sample of  six  ​people, the mean driving distance to work was  25.7 miles and the standard deviation was  6.7  miles. Assuming the population is normally distributed and using the​ t-distribution, a  99​%  confidence interval for the population mean  mu  is  left parenthesis 14.7 comma 36.7 right parenthesis  ​(and the margin of error is  11.0​).

Through​ research, it has been found that the population standard deviation of driving distances to work is  5.5 .  Using the standard normal distribution with the appropriate calculations for a standard deviation that is​ known, find the margin of error and construct a  99 ​%  confidence interval for the population mean  mu .

Interpret the results. Select the correct choice below and fill in the answer box to complete your choice.  ​(Type an integer or a decimal. Do not​ round.)  

A.  nothing ​%  of all random samples of  six  people from the population will have a mean driving distance to work​ (in miles) that is between the​ interval's endpoints.

B.  With  nothing ​%  ​confidence, it can be said that most driving distances to work​ (in miles) in the population are between the​ interval's endpoints.

C.  It can be said that  nothing ​%  of the population has a driving distance to work​ (in miles) that is between the​ interval's endpoints.  

D.  With  nothing %  confidence, it can be said that the population mean driving distance to work ​ (in miles) is between the​ interval's endpoints.

We are given that in a random sample of  six  ​people, the mean driving distance to work was  25.7 miles and the standard deviation was  6.7  miles.

Through​ research, it has been found that the population standard deviation of driving distances to work is  5.5 .

Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;

                             P.Q.  =  \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~  N(0,1)  

where, \bar X = sample mean driving distance to work = 25.7 miles

             \sigma = population standard deviation = 5.5 miles

            n = sample of people = 6

             \mu = population mean driving distance to work

<em>Here for constructing a 99% confidence interval we have used a One-sample z-test statistics because we know about the population standard deviation. </em>

<u>So, 99% confidence interval for the population mean, </u>\mu<u> is ; </u>

P(-2.58 < N(0,1) < 2.58) = 0.99  {As the critical value of z at 0.5% level

                                                      of significance are -2.58 & 2.58}  

P(-2.58 < \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < 2.58) = 0.99

P( -2.58 \times {\frac{\sigma}{\sqrt{n} } } < {\bar X-\mu} < 2.58 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.99

P( \bar X-2.58 \times {\frac{\sigma}{\sqrt{n} } } < \mu < \bar X+2.58 \times {\frac{\sigma}{\sqrt{n} } } ) = 0.99

<u>99% confidence interval for</u> \mu = [ \bar X-2.58 \times {\frac{\sigma}{\sqrt{n} } } , \bar X+2.58 \times {\frac{\sigma}{\sqrt{n} } } ]

                                            = [ 25.7-2.58 \times {\frac{5.5}{\sqrt{6} } } , 25.7+2.58 \times {\frac{5.5}{\sqrt{6} } } ]

                                            = [19.91, 31.49]

Therefore, a 99% confidence for the population mean is [19.91, 31.49] .

The margin of error here is = 2.58 \times {\frac{\sigma}{\sqrt{n} } }

                                             = 2.58 \times {\frac{5.5}{\sqrt{6} } }  = 5.793

With 99 %  confidence, it can be said that the population mean driving distance to work ​ (in miles) is between the​ interval's endpoints [19.91, 31.49] .

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Step-by-step explanation:

Given : Imagine you have a pair of six-sided dice.

To find : What's the  probability of rolling a seven or rolling an even number  as the sum of the two dice?

Solution :

Rolling a pair of six-sided dice,

(1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6)

(2, 1) (2, 2) (2, 3) (2, 4) (2, 5) (2, 6)

(3, 1) (3, 2) (3, 3) (3, 4) (3, 5) (3, 6)

(4, 1) (4, 2) (4, 3) (4, 4) (4, 5) (4, 6)

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(6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6)

Rolling a seven as the sum of the two dice are (1,6),(2,5),(3,4),(4,3),(5,2),(6,1)

Rolling an even number  as the sum of the two dice are (1,1),(1,3),(1, 5),(2, 2),(2, 4),(2, 6) ,(3, 1),(3, 3),(3, 5),(4, 2),(4, 4),(4, 6),(5, 1),(5, 3),(5, 5),(6, 2),(6, 4),(6, 6).

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The probability is given by,

\text{Probability}=\frac{\text{Favorable outcome}}{\text{Total outcome}}

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3 years ago
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Cross multiplying, we get,

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