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mash [69]
3 years ago
15

In a random sample of six cell​ phones, the mean full retail price was ​$538.00 and the standard deviation was ​$184.00. Assume

the population is normally distributed and use the​ t-distribution to find the margin of error and construct a 90​% confidence interval for the population mean mu. Interpret the results. Identify the margin of error. Construct a 90​% confidence interval for the population mean. Interpret the results. Select the correct choice below and fill in the answer box to complete your choice.

Mathematics
1 answer:
OleMash [197]3 years ago
3 0

Answer:

The margin of error is 370.8.

The 90​% confidence interval for the population mean is between $167.2 and $908.8

The correct interpretation is that we are 90% sure that the true mean price for all cellphones in within the interval end-points, so option B.

Step-by-step explanation:

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 6 - 1 = 5

90% confidence interval

Now, we have to find a value of T, which is found looking at the t table, with 5 degrees of freedom(y-axis) and a confidence level of 1 - \frac{1 - 0.9}{2} = 0.95. So we have T = 2.0150

The margin of error is:

M = T*s = 2.0150*184 = 370.8.

In which s is the standard deviation of the sample.

The lower end of the interval is the sample mean subtracted by M. So it is 538 - 370.8 = $167.2

The upper end of the interval is the sample mean added to M. So it is 538 + 370.8 = $908.8

The 90​% confidence interval for the population mean is between $167.2 and $908.8

The correct interpretation is that we are 90% sure that the true mean price for all cellphones in within the interval end-points, so option B.

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Step-by-step explanation:

The given data set is:

Week 1: 600

Week 2: 300

Week 3: 500

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The following are the steps to find the standard deviation:

Step 1. Jim enters the data and calculates the average or mean.

Step 2. Jim calculates the deviation from the mean by subtracting the mean from each value.

Data value (x)                                                              

600                                                                           25

300                                                                         -275

500                                                                         -75

900                                                                          325

Step 3. Jim squares each deviation to remove negative signs.

Data value (x)                                                            

600                                                                       625

300                                                                    75625

500                                                                      5625

900                                                                   105625

Step 4. Jim sums the squares of each deviation and divides by the count for the variance.

Step 5.Jim takes the square root of the variance to find the standard deviation.

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