Elementary Statistics: A Step By Step Approach
Elementary Statistics: A Step By Step Approach
10th Edition
ISBN: 9781259755330
Author: Allan G. Bluman
Publisher: McGraw-Hill Education
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Textbook Question
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Chapter 2, Problem 2.2.9RE

Construct a histogram, frequency polygon, and ogive for the data in Exercise 5.

Expert Solution & Answer
Check Mark
To determine

To construct: The histogram, frequency polygon, and ogive for given data.

Answer to Problem 2.2.9RE

The histogram, frequency polygon and Ogive shown below:

Histogram:

Elementary Statistics: A Step By Step Approach, Chapter 2, Problem 2.2.9RE , additional homework tip  1

Frequency polygon:

Elementary Statistics: A Step By Step Approach, Chapter 2, Problem 2.2.9RE , additional homework tip  2

Ogive:

Elementary Statistics: A Step By Step Approach, Chapter 2, Problem 2.2.9RE , additional homework tip  3

Explanation of Solution

Given info: The given data is shown below,

90 420 300 194
640 68 268 276
620 76 165 833
370 53 132 600
594 70 308  
574 215 109  
317 850 212  
300 256 187  

Calculation:

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

The number of classes is 6.

Here the minimum number is 53 and maximum number is 850.

Thus, the range is, 85053=797 .

Class width is obtained by dividing the range by the number of classes.

Thus,

Classwidth=RangeNumberofcalsses=7976=132.83135(roundedupforconvenient)

Since, we have to make 6 classes for given data we take class width 135 for convenient.

Lower class limits:

The class limits are obtained by taking the minimum value or less than minimum value as lower limit for the first class. For second class, the lower limit is obtained by adding the class width to the previous class lower limit. That is,

53+135=188 .

Similarly, the lower limits for the remaining classes can be obtained.

Upper class limits:

For the first class, the upper limit is one less than the lower limit of the second class that is,

1880.5=187.5 .

The other upper limits are obtained by adding the upper limit of the preceding class and the class width.

Thus, the lower class and upper class limits are as follows:

Lower limit Upper limit
52.5 1880.5=187.5
52.5+135=187.5 322.5
187.5+135=322.5 457.5
322.5+135=457.5 592.5
457.5+135=592.5 727.5
592.5+135=727.7 862.5
727.5+135=862.5 997.5

Make a tally mark for each entry in the corresponding class and continue for all number of children in the data.

The number of tally marks in each class represents the frequency, f of that class.

Thus, the frequency distribution table the distribution of declaration of independence is as follows,

Class Tally Frequency f
52.5-187.5 ||||||| 9
187.5-322.5 |||||||| 10
322.5-457.5 ||| 3
457.5-592.5 ||| 3
592.5-727.5 | 1
727.5-862.5 || 2

Relative frequency:

The portion of the data that falls in the corresponding class is relative frequency of that class.

Relativefrequency=ClassfrequencySamplesize=fn

Thus, the relative frequency for each class is tabulated below,

Class Frequency f Relative frequency
52.5-187.5 9 928=0.3214
187.5-322.5 10 1028=0.3571
322.5-457.5 3 328=0.1071
457.5-592.5 3 328=0.1071
592.5-727.5 1 128=0.035
727.5-862.5 2 228=0.071
Total 28  

From the frequency table it is observed that maximum relative frequency is for class 187.5-322.5 and also frequency is maximum for that class.

Adding the frequency and write in next column.

Determine the mid value of class boundaries as taking average between the lower boundaries and higher boundaries.

Thus grouped frequency table for the given data is,

Class Frequency f Mid value Cumulative frequency Cumulative percentage
52.5-187.5 9 120 9 32.14
187.5-322.5 10 255 19 67.85
322.5-457.5 3 390 22 78.57
457.5-592.5 3 525 25 89.28
592.5-727.5 1 660 26 92.85
727.5-862.5 2 795 28 100
Total 28      

Thus, the table shows the frequency distribution table for the given data.

Histogram:

Software procedure:

Step-by-step procedure to construct the histogram by using EXCEL is given below:

  • Enter the data in column A of new worksheet, one number per cell.
  • Enter the boundaries in column B.
  • From the toolbar, select the Data tab, the select data analysis.
  • In data analysis, select HISTOGRAM and click ok.
  • In HISTOGRAM dialog box, type A1:A6 in the input range.
  • Click ok and histogram shown below,

The shape of the distribution is positive skewed.

Frequency polygon:

Software procedure:

Step-by-step procedure to construct the histogram by using EXCEL is given below:

  • Enter midpoint and frequency in column A and column B respectively.
  • Select the insert tab from the toolbar and line chart option.
  • Select 2-D line chart.
  • Frequency polygon shown below,

The frequency polygon shows that distribution is positively skewed.

Ogive:

Software procedure:

  • Enter upper class boundaries and cumulative frequency in column A and column B respectively.
  • Select the insert tab from the toolbar and line chart option.
  • Select 2-D line chart.

Therefore, from the ogive it can say that distribution is increasing in trend.

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Chapter 2 Solutions

Elementary Statistics: A Step By Step Approach

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