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Data presentation


                      Prepared by
                      Assis. Prof.
                    Namir G. Al-Tawil
The ordered array

 It is the first step in the process of data
  organization.
 An ordered array is a listing of values of a
  collection in order of magnitude from the
  smallest value to the largest value.
 It enables one to determine quickly the
  value of the smallest measurement, and
  the value of the largest measurement, and
  enable one to determine roughly the
  proportion of people lying below or above
  certain value.
The frequency distribution

  One  of the ways of data summarization.
  To group a set of observations, we
   select a set of class intervals. There
   must be no overlapping between these
   intervals.
  Too few intervals are undesirable
   because of the resulting loss of
   information. If too many intervals are
   used, the objective of summarization
   can not be met. The appropriate No. of
   class intervals is 6-15.
The frequency distribution, cont.

 Sturge’s   rule (formula):
  K = 1 + 3.322 (log10 n)
  K = No. of class intervals. n = sample size.
 Note that this rule is not final, you can
  increase or decrease the No. of class
  intervals for convenience and clear
  presentation.
The frequency distribution, cont.

 The  width (W) of class interval, in general,
  is equal, but sometimes this is not possible.

W   = R/K
 R = Range (difference between smallest
  and largest observation).
 For convenience, a width of 5 units or 10
  units is used.
Example of a frequency distribution
table of 169 subjects of different
ages

Class      Frequency Cumulative Relative Cumulative R.
interval             frequency frequency Frequency
10-19          4          4      0.0237     0.0237
20-29         66        70       0.3905      0.4142
30-39         47        117      0.2781      0.6923
40-49         36        153      0.2130      0.9053
50-59         12        165      0.0710      0.9763
60-69         4         169      0.0237      1.0000
Total         169                1.0000
90


                 80


                 70


                 60


                 50
Success rate %




                 40


                 30


                 20


                 10


                  0
                                                                          College
                      Erbil                  Sulaimany            Duhok

                              Figure 1. Success rate by college
6


            5


            4
frequency




            3


            2


            1


            0
                17.5 20 22.5 25 27.5 30 32.5 35 37.5 40 42.5 45 47.5
                                                       Age (years)
                         The Frequency Polygon
70

            60

            50

            40
frequency




            30

            20

            10

            0
                 10 to 19   20 to 29   30 to 39   40 to 49   50 to 59   60 to 69


                  Distribution of Sample by Age                    Age (years)


                                 Line Graph
Males, 150, 33%




Females, 300, 67%




                Figure 1. Distribution of sample by sex

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Stat 2 data presentation2

  • 1. Data presentation Prepared by Assis. Prof. Namir G. Al-Tawil
  • 2. The ordered array  It is the first step in the process of data organization.  An ordered array is a listing of values of a collection in order of magnitude from the smallest value to the largest value.  It enables one to determine quickly the value of the smallest measurement, and the value of the largest measurement, and enable one to determine roughly the proportion of people lying below or above certain value.
  • 3.
  • 4.
  • 5.
  • 6. The frequency distribution  One of the ways of data summarization.  To group a set of observations, we select a set of class intervals. There must be no overlapping between these intervals.  Too few intervals are undesirable because of the resulting loss of information. If too many intervals are used, the objective of summarization can not be met. The appropriate No. of class intervals is 6-15.
  • 7. The frequency distribution, cont.  Sturge’s rule (formula): K = 1 + 3.322 (log10 n) K = No. of class intervals. n = sample size.  Note that this rule is not final, you can increase or decrease the No. of class intervals for convenience and clear presentation.
  • 8. The frequency distribution, cont.  The width (W) of class interval, in general, is equal, but sometimes this is not possible. W = R/K  R = Range (difference between smallest and largest observation).  For convenience, a width of 5 units or 10 units is used.
  • 9. Example of a frequency distribution table of 169 subjects of different ages Class Frequency Cumulative Relative Cumulative R. interval frequency frequency Frequency 10-19 4 4 0.0237 0.0237 20-29 66 70 0.3905 0.4142 30-39 47 117 0.2781 0.6923 40-49 36 153 0.2130 0.9053 50-59 12 165 0.0710 0.9763 60-69 4 169 0.0237 1.0000 Total 169 1.0000
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. 90 80 70 60 50 Success rate % 40 30 20 10 0 College Erbil Sulaimany Duhok Figure 1. Success rate by college
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. 6 5 4 frequency 3 2 1 0 17.5 20 22.5 25 27.5 30 32.5 35 37.5 40 42.5 45 47.5 Age (years) The Frequency Polygon
  • 21. 70 60 50 40 frequency 30 20 10 0 10 to 19 20 to 29 30 to 39 40 to 49 50 to 59 60 to 69 Distribution of Sample by Age Age (years) Line Graph
  • 22. Males, 150, 33% Females, 300, 67% Figure 1. Distribution of sample by sex