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The accompanying specific gravity values for various wood types used in construction appeared in the article “Bolted Connection Design Values Based on European Yield Model” (J. of Structural Engr., 1993: 2169–2186):

.31

.35

.36

.36

.37

.38

.40

.40

.40

.41

.41

.42

.42

.42

.42

.42

.43

.44

.45

.46

.46

.47

.48

.48

.48

.51

.54

.54

.55

.58

.62

.66

.66

.67

.68

.75

Construct a stem-and-leaf display using repeated stems, and comment on any interesting features of the display.

Short Answer

Expert verified

The stem and leaf display for the provided scenario is,

Unit: 3L|1=0.31 and 3R|5=0.35.

Step by step solution

01

Given information

The gravity values for various wood types used in construction is provided as,

.31

.35

.36

.36

.37

.38

.40

.40

.40

.41

.41

.42

.42

.42

.42

.42

.43

.44

.45

.46

.46

.47

.48

.48

.48

.51

.54

.54

.55

.58

.62

.66

.66

.67

.68

.75

02

Construct a stem and leaf diagram and comment

a.

A stem-and-leaf display providesa visual representation of the dataset.

The steps to construct a stem-and-leaf display are as follows,

1) Select the leading digit for the stem and trailing digits for the leaves.

2) Represent the stem digits vertically and similarly the trailing digits corresponding to the stem digits.

3) Mention the units for the display.

The stem and leaf display for the provided scenario is,

Unit: 3L|1=0.31 and 3R|5=0.35.

From the above display, the features are,

1)It can be observed that a good representative strength value is 0.45.

2) The display appears to be right or positively skewed and not symmetric.

3) The range of the data is 0.44 (0.75-0.31).

4)There is a reasonably large amount of variation in the data.

5)A possible outlier can be observed as 0.75.

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Most popular questions from this chapter

Consider a sample \({x_1},{x_2},...,{x_n}\) and suppose that the values of \(\bar x\),\({s^2}\), and shave been calculated.

a. Let\({y_i} = {x_i} - \bar x\)for i=1,…, n. How do the values of \({s^2}\)and sfor the\({y_i}'s\)compare to the corresponding values for the\({x_i}'s\)? Explain.

b. Let\({z_i} = \left( {{x_i} - \bar x} \right)/s\) for i=1,…, n. What are the values of the sample variance and sample standard deviation for the \({z_i}'s\)?

The three measures of center introduced in this chapter are the mean, median, and trimmed mean. Two additional measures of center that are occasionally used are the midrange,which is the average of the smallest and largest observations, and the midfourth,which is the average of the two fourths. Which of these five measures of center are resistant to the effects of outliers and which are not? Explain your reasoning.

The article “Study on the Life Distribution of Microdrills” (J. of Engr. Manufacture, 2002: 301– 305) reported the following observations, listed in increasing order, on drill lifetime (number of holes that a drill machines before it breaks) when holes were drilled in a certain brass alloy.

11 14 20 23 31 36 39 44 47 50

59 61 65 67 68 71 74 76 78 79

81 84 85 89 91 93 96 99 101 104

105 105 112 118 123 136 139 141 148 158

161 168 184 206 248 263 289 322 388 513

a. Why can a frequency distribution not be based on the class intervals 0–50, 50–100, 100–150, and so on?

b. Construct a frequency distribution and histogram of the data using class boundaries 0, 50, 100, … , and then comment on interesting characteristics.

c. Construct a frequency distribution and histogram of the natural logarithms of the lifetime observations, and comment on interesting characteristics.

d. What proportion of the lifetime observations in this sample are less than 100? What proportion of the observations are at least 200?

Compute the sample median, 25% trimmed mean, 10% trimmed mean, and sample mean for the lifetime data given in Exercise 27, and compare these measures.

The value of Young’s modulus (GPa) was determined forcast plates consisting of certain intermetallic substrates,resulting in the following sample observations (“Strengthand Modulus of a Molybdenum-Coated Ti-25Al-10Nb-3U-1Mo Intermetallic,” J. of Materials Engr.and Performance, 1997: 46–50):

116.4 115.9 114.6 115.2 115.8

  1. Calculate\({\bf{\bar x}}\) and the deviations from the mean.
  2. Use the deviations calculated in part (a) to obtain the sample variance and the sample standard deviation.
  3. Calculate\({{\bf{s}}^{\bf{2}}}\)by using the computational formula for the numerator \({S_{xx}}\).
  4. Subtract 100 from each observation to obtain a sample of transformed values. Now calculate the sample variance of these transformed values, and compare it to\({{\bf{s}}^{\bf{2}}}\)for the original data.
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