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Unit 2: Classification of Data




                                                                                                Notes

              Task  Administer a test in your class.  Classify the data so obtained, in the form of a
             frequency distribution.

          Self Assessment

          Multiple Choice Questions:
          11.  A ..................... frequency distribution may be ungrouped or grouped.
               (a)  Continuous Frequency  Distribution

               (b)  Discrete Frequency Distribution
               (c)  Relative Frequency  Distribution
               (d)  Percentage Frequency Distribution
          12.  In an ............................ frequency distribution, various values  of the variable are shown
               along with their corresponding frequencies.
               (a)  Grouped                      (b)  Ungrouped
               (c)  Continuous                   (d)  Relative

          13.  The method of ...................................is used to  count the  number of observations or the
               frequency of each value of the variable.
               (a)  Grouping                     (b)  Arranging

               (c)  Tally marks                  (d)  Graphing
          14.  The ................................ are the smallest and the largest observation in a class.
               (a)  Class size                   (b)  Class Interval
               (c)  Class limits                 (d)  True class limits

          15.  The .......................... of a class is defined as the arithmetic mean of its lower and upper
               limits.
               (a)  Mid value                    (b)  Middle values

               (c)  Extreme values               (d)  Medium Values
          2.4 Bivariate and Multivariate Frequency Distributions



          Bivariate Frequency Distributions

          In the frequency distributions, discussed so far, the data are classified according to only one
          characteristic. These distributions are known as univariate frequency distributions. There may
          be  a  situation  where  it  is  necessary  to  classify  data,  simultaneously,  according  to  two
          characteristics. A frequency distribution obtained by the simultaneous classification of data
          according to two characteristics, is known as a bivariate frequency distribution. An example of
          such a  classification is given below, where 100 couples are  classified according  to the  two
          characteristics, Age of Husband and Age of Wife. The tabular representation of the bivariate
          frequency distribution is known as a contingency table.






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