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The article cited in Example 1.2 also gave the accompanying strength observations for cylinders:

6.1

5.8

7.8

7.1

7.2

9.2

6.6

8.3

7.0

8.3

7.8

8.1

7.4

8.5

8.9

9.8

9.7

14.1

12.6

11.2


a. Construct a comparative stem-and-leaf display(see the previous exercise) of the beam and cylinder data, and then answer the questions in parts(b)鈥(d) of Exercise 10 for the observations oncylinders.

b. In what ways are the two sides of the display similar? Are there any obvious differences between the beam observations and the cylinder observations?
c. Construct a dotplot of the cylinder data.

Short Answer

Expert verified

a. A comparative stem and leaf display of the beam and cylinder data is

No. Both are rightly skewed.

Yes.

The proportion of strength that exceeds 10 MPa is 0.15.

b.Both are right-skewed. The cylinder observations are more spread out as compare to beam observations.

c.

Step by step solution

01

Given information

The data are provided in which there are 27 beam observations (data given in Example 1.2) and 20-cylinder observations.

02

Construct comparative stem-and-leaf plot for beam and cylinder data.

a.

Following are the steps to construct acomparative stem and leaf plot:

1. Arrange the given data in order.

2. Construct the stem and leaf display by using the same digits as stems.

3. List possible stem values vertically and record the leaf for each observation for every stem value.

4. Place the digits for leaves of cylinder on the right side and the digits of leaves of beam on the left side of the stem.

03

Answer to the problem 10-(b)

No, the data does not appear to be symmetric. In both cases, it appears that the data for beam and cylinder strengths are rightly skewed. It seems that the value 14.1 is an outlier.

04

Answer to the problem 10-(c)

From the plot, it is observed that most of the data lie between 6 and 9 for both the beam and cylinder. For cylinder data, there are three outliers i.e. 11.2, 12.6 and 14.1. It is due to the fact that the data for cylinder is more spread as compared to beam data.

05

Answer to the problem 10-(d)

In the given sample of 20-cylinder observations, there are 3 outliers that exceeds 10 MPa so, the proportion is calculated by dividing 3 from 20 using the formula:

\(P = \frac{{Number\,of\,observations\,that\,exceeds\,10\,{\rm{MPa}}}}{{Total\,number\,of\,observations}}\)

\(\begin{aligned}P &= \frac{3}{{20}}\\ &= 0.15\end{aligned}\)

Thus, the proportion of strength that exceeds 10 MPa is 15% or 0.15.

06

Given information

b.The data are provided in which there are total of 20 strength observations for cylinders.

6.1

5.8

7.8

7.1

7.2

9.2

6.6

8.3

7.0

8.3

7.8

8.1

7.4

8.5

8.9

9.8

9.7

14.1

12.6

11.2

07

State the reason

b.

The shape of the distribution of data for both beam and cylinder strengths are right-skewed.

The data for cylinder are more spread than the beam data as observed by the comparative stem and plot.

08

Given information

The data are provided in which there are total of 20 strength observations for cylinders.

6.1

5.8

7.8

7.1

7.2

9.2

6.6

8.3

7.0

8.3

7.8

8.1

7.4

8.5

8.9

9.8

9.7

14.1

12.6

11.2

09

Construct dot-plot of Cylinder Observations.

c.

Following are the steps to construct a dot-plot of cylinder observations:

1. Open Minitab and enter the given data into the worksheet.

2. Choose Graph and select 鈥淒ot-plot鈥.

3. Choose the Simple dot plot from the list of One Y and then click 鈥淥k鈥.

4. Double click on Cylinder observations to specify it in the graph variables box and click 鈥淥k鈥.

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Most popular questions from this chapter

Here is a stem-and-leaf display of the escape time data introduced in Exercise 36 of this chapter.

32

55

33

49

34


35

6699

36

34469

37

3345

38

9

39

2347

40

23

41


42

4

a. Determine the value of the fourth spread.

b. Are there any outliers in the sample? Any extreme outliers?

c. Construct a boxplot and comment on its features.

d. By how much could the largest observation, currently 424, be decreased without affecting the value of the fourth spread?

The weekly demand for propane gas (in \({\rm{1000s}}\) of gallons) from a particular facility is an \({\rm{rv}}\) \({\rm{X}}\) with pdf

\({\rm{f(x) = }}\left\{ {\begin{array}{*{20}{c}}{{\rm{2}}\left( {{\rm{1 - }}\frac{{\rm{1}}}{{{{\rm{x}}^{\rm{2}}}}}} \right)}&{{\rm{1}} \le {\rm{x}} \le {\rm{2}}}\\{\rm{0}}&{{\rm{ otherwise }}}\end{array}} \right.\)

a. Compute the cdf of \({\rm{X}}\).

b. Obtain an expression for the \({\rm{(100p)th}}\) percentile. What is the value of \({\rm{\tilde \mu }}\)?

c. Compute \({\rm{E(X)}}\) and \({\rm{V(X)}}\).

d. If \({\rm{1}}{\rm{.5}}\) thousand gallons are in stock at the beginning of the week and no new supply is due in during the week, how much of the \({\rm{1}}{\rm{.5}}\) thousand gallons is expected to be left at the end of the week? (Hint: Let \({\rm{h(x) = }}\) amount left when demand \({\rm{ = x}}\).)

An airport limousine can accommodate up to four passengers on any one trip. The company will accept a maximum of six reservations for a trip, and a passenger must have a reservation. From previous records,\({\rm{20 \% }}\)of all those making reservations do not appear for the trip. Answer the following questions, assuming independence wherever appropriate. a. If six reservations are made, what is the probability that at least one individual with a reservation cannot be accommodated on the trip? b. If six reservations are made, what is the expected number of available places when the limousine departs? c. Suppose the probability distribution of the number of reservations made is given in the accompanying table.

Let X denote the number of passengers on a randomly selected trip. Obtain the probability mass function of X.

Do running times of American movies differ somehow from running times of French movies? The author investigated this question by randomly selecting 25 recent movies of each type, resulting in the following

running times:

Am: 94 90 95 93 128 95 125 91 104 116 162 102 90

110 92 113 116 90 97 103 95 120 109 91 138

Fr: 123 116 90 158 122 119 125 90 96 94 137 102

105 106 95 125 122 103 96 111 81 113 128 93 92

Construct a comparativestem-and-leaf display by listing stems in the middle of your paper and then placing the Am leaves out to the left and the Fr leaves out to the right. Then comment on interesting features of thedisplay.

The article cited in Exercise 20 also gave the following values of the variables y=number of culs-de-sac and z=number of intersections:

y

1

0

1

0

0

2

0

1

1

1

2

1

0

0

1

1

0

1

1

z

1

8

6

1

1

5

3

0

0

4

4

0

0

1

2

1

4

0

4

y

1

1

0

0

0

1

1

2

0

1

2

2

1

1

0

2

1

1

0

z

0

3

0

1

1

0

1

3

2

4

6

6

0

1

1

8

3

3

5

y

1

5

0

3

0

1

1

0

0

z

0

5

2

3

1

0

0

0

3

a. Construct a histogram for the ydata. What proportion of these subdivisions had no culs-de-sac? At least one cul-de-sac?

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