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Doing Time. The U.S. Department of Justice, Office of Justice Programs, and Bureau of Justice Statistics provide information on prison sentences in the document National Corrections Reporting Program. A random sample of 20 maximum sentences for murder yielded the data, in months, presented on the Weiss Stats site. Use the technology of your choice to do the following.

a. Find a 95% confidence interval for the mean maximum sentence of all murders. Assume a population standard deviation of 30 months.

b. Obtain a normal probability plot, boxplot, histogram, and stem and leaf diagram of the data.

c. Remove the outliers (if any) from the data, and then repeat part (a).

d. Comment on the advisability of using the z-interval procedure on these data.

Short Answer

Expert verified

Part (a) The 95%confidence interval for the mean maximum sentence of all murders is(276.802,303.098)

Part (b)

Stem-and-leaf of TIME N=20

Leaf Unit =1.0

22545626077992723510287102901255302233133233332344

HI374

Part (c) (272.037,299.016)

Part (d) It is clear that the z-interval procedure is not appropriate for the given data.

Step by step solution

01

Part (a) Step 1: Given information

The data on the Weiss Stats site was derived from a random sample of 20 maximum sentences for murder.

02

Part (a) Step 2: Explanation

Using MINITAB, calculate the 95%confidence interval for the mean maximum sentence of all murders.

MINITAB procedure:

Step 1: Choose Stat >Basic Statistics >1-Sample Z.

Step 2: In Samples in Column, enter the column of TIME.

Step 3: In Standard deviation, enter 30

Step 4: Select Options and set the Confidence Level to 95

Step 5: Choose not equal in alternative.

Step 6: Click OK in all dialogue boxes.

MINITAB output:

One-Sample Z: TIME

The assumed standard deviation =30

From the MINITAB output, the 95%confidence interval for the mean maximum sentence of all murders is (276.802,303.098)

03

Part (b) Step 1: Explanation

Using MINITAB, create a boxplot for a maximum sentence for all murders.

MINITAB procedures:

Step 1: Select Graph Boxplot or Stat EDA Boxplot from the menu bar.

Step 2: Select Simple under One Y's Click OK.

Step 3: Using TIME data fill in the graph variables.

Step 4: Choose the option OK.

MINITAB PRODUCTIVE OUTPUT:

Draw the normal probability plot for the maximum punishment for all murders using MINITAB.

Procedure for MINITAB:

Step 1: Select Probability Plot from the Graph menu.

Step 2: Click OK after selecting Single.

Step 3: In the Graph variables section, type TIME in the column.

Step 4: Click the OK button.

04

Part (b) Step 2: Explanation

Draw the histogram for the maximum punishment for all murders using MINITAB.

Procedure for MINITAB:

Step 1: Select Histogram from the Graph menu.

Step 2: Click OK after selecting Simple.

Step 3: In the Graph variables section, type TIME in the relevant column.

Step 4: Click the OK button.

OUTPUT FROM MINITAB:

Draw the stem-and-leaf diagram for the maximum penalty for all murders using MINITAB.

Procedure for MINITAB:

Select Graph > Stem and leaf in the first step.

Step 2: Select TIME as the variable column in Graph variables.

Step 3: Choose OK.

OUTPUT FROM MINITAB:

Stem-and-Leaf Display: TIME

Stem-and-leaf of TIME N=20

Leaf Unit =1.0

22545626077992723510287102901255302233133233332344

HI374

05

Part (c) Step 1: Explanation

Using MINITAB, calculate the 95%confidence interval for the mean maximum sentence of all murders after removing outliers.

Procedure for MINITAB:

Step 1: Select Stat >Basic Statistics >1-Sample Zfrom the drop-down menu.

Step 2: In the Samples in Column field, type TIME.

Step 3: Enter 30in Standard deviation.

Step 4: Select Options and set the Confidence Level to 95

Step 5: In the alternative, select not equal.

Step 6: In all dialogue boxes, click OK.

OUTPUT FROM MINITAB:

One-Sample Z: TIME

The assumed standard deviation =30

VariableNMeanStDevSE Mean95웅 CITIME19285.52624.1746.882(272.037,299.016)

The 95% confidence interval for the mean maximum sentence of all murders calculated using MINITAB is (272.037,299.016)

06

Part (d) Step 1: Explanation

The results show that there is one significant outlier in the data. With a small sample size, the data distribution seems to be biassed to the right. As a result, the z-interval technique is clearly inappropriate for the data.

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Most popular questions from this chapter

Formula 8.2on page 327provides a method for computing the sample size required to obtain a confidence interval with a specified confidence level and margin of error. The number resulting from the formula should be rounded up to the nearest whole number.

a. Why do we want a whole number?

b. Why do we round up instead of down?

Class Project: Gestation Periods of Humans. This exercise can be done individually or, better yet, as a class project. Gestation periods of humans are normally distributed with a mean of 266 days and a standard deviation of 16 days.

a. Simulate 100 samples of nine human gestation periods each.

b. For each sample in part (a), obtain a 95% confidence interval for the population mean gestation period.

c. For the 100 confidence intervals that you obtained in part (b), roughly how many would you expect to contain the population mean gestation period of 266 days?

d. For the 100 confidence intervals that you obtained in part (b), determine the number that contain the population mean gestation period of 266 days.

e. Compare your answers from parts (c) and (d), and comment on any observed difference.

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b. the t-value having area α to its left in terms of tα

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Suppose that you will be taking a random sample from a population and that you intend to find a 95%confidence interval for the population mean μ. Which sample size, 25or30 , will result in the confidence interval giving a more accurate estimate of μ?

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