Applied Statistics in Business and Economics
Applied Statistics in Business and Economics
5th Edition
ISBN: 9780077837303
Author: David Doane, Lori Seward Senior Instructor of Operations Management
Publisher: McGraw-Hill Education
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Chapter 3, Problem 29CE

a.

To determine

Construct a dot plot for the call length data.

a.

Expert Solution
Check Mark

Answer to Problem 29CE

The dot plot for the call length data is given below:

Applied Statistics in Business and Economics, Chapter 3, Problem 29CE , additional homework tip  1

Explanation of Solution

Calculation:

The given information is that, the data represents the length of 65 calls initiated during the last week fo july.

Software procedure:

Step -by-step procedure to draw dot plot using MINITAB software is as follows:

  • Select Graph > Dot plot.
  • Select Simple under One Y.
  • Select the column of Minutes in Graph variables.
  • Select OK.

b.

To determine

Construct a frequency distribution.

Construct a histogram.

b.

Expert Solution
Check Mark

Answer to Problem 29CE

The frequency distribution using nice bin limits

Bin limits

Mid

point

Width

Frequency

f

PercentCumulative
LowerUpperFrequencyPercent
1< 5344772.314772.31
5< 974913.855685.15
9< 1311423.085889.23
13< 1715434.626193.85
17< 2119423.086396.92
21< 25234006396.92
25< 2927411.546498.46
29< 3331411.5465100
Total  65   

The histogram is as follows,

Applied Statistics in Business and Economics, Chapter 3, Problem 29CE , additional homework tip  2

Explanation of Solution

Calculation:

Frequency distribution:

It is a tabulation of n data values which are divided into k classes called bins. The bin limits are the cutoff points which defines each bin. These generally have equal interval and the limits do not overlap.

Step-by-step procedure to construct frequency distribution table is as follows:

  • The smallest and largest data values are 1 and 29.
  • Here the sample size is 65. By Sturge’s Rule, k=1+3.3log(n)

Thus,

k=1+3.3log(65)=1+5.9826=6.987

  • Bin width is obtained by dividing the range by the number of bins.

Thus,

Binwidth=xmaxxmink=2917=4

Hence, the bin width is 4.

  • The minimum value in the data is 1 hence the first bin should start at 1.

Thus, the frequency distribution table for call length is as follows:

Bin limits
LowerUpper
1< 5
5< 9
9< 13
13< 17
17< 21
21< 25
25< 29
Total

In the 7th bin the largest value is not included. Hence the number of bins should be taken as 8 in order to include the largest value.

Tally mark:

  • Make a tally mark for each score in the corresponding class and continue for all reading times in the data.
  • The number of tally marks in each class represents the frequency, f of that class.

Thus, the frequency distribution table for calllength is as follows:

Bin limitsTally

Frequency

f

Percent
LowerUpper
1< 5||||||||||||||||||||||||||||||||||||||474765×100=72.31
5< 9||||||||9965×100=13.85
9< 13||2265×100=3.08
13< 17|||3365×100=4.62
17< 21||2265×100=3.08
21< 25 0065×100=0
25< 29|1165×100=1.54
29< 33|1165×100=1.54
Total 65 

Mid point:

The midpoint is the average of the lower limit and upper limit of a particular class. It is also called as class mark.

Midpoint=(Lowerclass limit+Upperclasslimit)2

Thus, the mid points for each class is tabulated below:

Bin limits

Frequency

f

Mid point
LowerUpper
1< 5471+52=3
5< 995+92=7
9< 1329+132=11
13< 17313+172=15
17< 21217+212=19
21< 25021+252=23
25< 29125+292=27
29< 33129+332=31
Total65 

Cumulative frequency:

Cumulative frequency is the running total of frequencies. A cumulative frequency for a particular class would be the total of all frequencies upto that current class The last class’s cumulative frequency is equal to the sample size n.

Thus, the cumulative frequency for each calss is tabulated below:

Bin limits

Frequency

f

Cumulative

frequency

LowerUpper
1< 54747
5< 9947+9=56
9< 13256+2=58
13< 17358+3=61
17< 21261+2=63
21< 25063+0=63
25< 29163+1=64
29< 33164+1=65
Total65 

Cumulative Relative frequency:

Bin limits

Cumulative

frequency

Cumulative

percent

LowerUpper
1< 5474765×100=72.31
5< 9565665×100=85.15
9< 13585865×100=89.23
13< 17616165×100=93.85
17< 21636365×100=96.92
21< 25636365×100=96.92
25< 29646465×100=98.46
29< 33656565×100=100
Total  

Software procedure:

Step by step procedure to obtain Histogram using MINITAB is given below:

  • Choose Graph > Histogram.
  • Choose Simple, and then click OK.
  • In Graph variables, enter the corresponding column of Minutes.
  • Click Scale > Y-Scale Type > Percent
  • Click OK.
  • To modify the interval settings, double click on the horizontal axis of the graph. Then, select Binning > Cutpoint > Cutpoint Positions, in this box, enter the values for the cut points of the bin intervals (0, 5, 10, 15, 20, 25, 30, 35, 40, 45 and 50).

c.

To determine

Explain about the distribution based on the displays.

c.

Expert Solution
Check Mark

Explanation of Solution

Symmetric:

If the values of the data are elongated equally to the right and left, then the distribution is symmetric.

Skewed right:

If the values of the data are elongated to the right and most of the values are clustered on the left side, then the distribution is skewed right.

Skewed left:

If the values of the data are elongated to the left and most of the values are clustered on the right side, then the distribution is skewed left.

From the histogram in parts (a) and (b) it is observed that, the shape of the distribution is skewed right because the tail is elongated to the right. Most of calllenghts are under 5minutes.

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Chapter 3 Solutions

Applied Statistics in Business and Economics

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