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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

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?

The amount of flow through a solenoid valve in an automobile鈥檚

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a. The resulting data set consisted of how manyobservations?

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Suppose your waiting time for a bus in the morning is uniformly distributed on\((0,8)\), whereas waiting time in the evening is uniformly distributed on\((0,10)\)independent of the morning waiting time.

a. If you take the bus each morning and evening for a week, what is your total expected waiting time?

b. What is the variance of your total waiting time?

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d. What are the expected value and variance of the difference between total morning waiting time and total evening waiting time for a particular week?

The May 1, 2009, issue of the Mont clarian reported the following home sale amounts for a sample of homes in Alameda, CA that were sold the previous month (1000s of $):

590 815 575 608 350 1285 408 540 555 679

  1. Calculate and interpret the sample mean and median.
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  3. Calculate a 20% trimmed mean by first trimming the two smallest and two largest observations.
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Let \({{\rm{X}}_{\rm{1}}}{\rm{,}}{{\rm{X}}_{\rm{2}}}.....{\rm{,}}{{\rm{X}}_{\rm{n}}}\) represent a random sample from the Rayleigh distribution with density function given in Exercise \({\rm{15}}\). Determine a. The maximum likelihood estimator of \({\rm{\theta }}\), and then calculate the estimate for the vibratory stress data given in that exercise. Is this estimator the same as the unbiased estimator suggested in Exercise \({\rm{15}}\)? b. The mle of the median of the vibratory stress distribution. (Hint: First express the median in terms of \({\rm{\theta }}\).)

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