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Sampling Theory Revision Sheet                                              December 2, 2010


                       Sampling-Theory of Estimation
                                      Types of Problems

           1) Type-1: Problem based on Standard Error (S.E.)
                 a) In case the Population is either infinite or in which samples are drawn
                 from a finite population with replacement.
                           i. S.E. for sample
                                mean( ̅ )            ̅
                                                               √

                                                              √∑(      ̅)


                                                                   √
                                  Where ̅

                                              sample size
                            ii.     S.E. for sample proportion

                                                       √

                                                      √
                                  Where p   population proportion




                                          sample size.
                   b) In case the Population is finite (generally whenever the ratio of
                   sample size (n) to population size (N) is 0.05 or more) In other words
                   when sampling fraction (n/N) is 0.05 more.
                            i. S.E. for sample mean

                                    ( ̅)          ̅           √
                                                      √

                                                      √∑(     ̅)

                                                                       √
                                                          √
                                  Where ̅

                                            population size
                                            sample size




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Sampling Theory Revision Sheet                                                       December 2, 2010


                            ii.     S.E. for sample proportion

                                                    √      √


                                                    √      √
                                  Where p     population proportion




                                                 population size
                                                 sample size.

           2) Type-2: Problem based on Confidence Interval
              i)      Determination of Confidence Limits or Limits of Parameters for
                      Population Mean ( ̅ ):
              Confidence Limits     Confidence Interval                  Confidence Level
                                    Minimum           Maximum
                    ̅                   ̅                  ̅             68.27%
                  ̅                  ̅                  ̅                90%
                  ̅                  ̅                  ̅                95%
                    ̅                  ̅                  ̅              95.45%
                  ̅                  ̅                  ̅                98%
                  ̅                  ̅                  ̅                99%
                    ̅                  ̅                  ̅              99.73%
              ii)     Determination of Confidence Limits or Limits of Parameters for
                      Population Proportion (p): Replace ̅ by p in above table. Where p is
                      sample proportion.
           3) Type-3: Problem based on Estimation.
                                                                         ̅
               i)      Value of Z for given Sample Mean is

                                             ̅


               ii)     Sample Size (    ̅)   for estimating a mean is    ̅   ( )
                                                                                 (     )
               iii)    Sample Size (        ) for estimating a mean is       (             )
                       Where,E is an error
                              Z corresponding to percentage Confidence Level (e.g. for 95%
                       Confidence Level Z




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Sampling Theory Revision Sheet                                       December 2, 2010


                               Revision Problems from ICAI

   1) Page no. 15.25 Set A: Theory based question.
   2) Page no. 15.28 Set B:
         a. Type 1 based Questions (Q1 to Q8),
         b. Type 1& Type 2 based Questions (Q8 to Q15).




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Cpt sampling theory revision sheet

  • 1. Sampling Theory Revision Sheet December 2, 2010 Sampling-Theory of Estimation Types of Problems 1) Type-1: Problem based on Standard Error (S.E.) a) In case the Population is either infinite or in which samples are drawn from a finite population with replacement. i. S.E. for sample mean( ̅ ) ̅ √ √∑( ̅) √ Where ̅ sample size ii. S.E. for sample proportion √ √ Where p population proportion sample size. b) In case the Population is finite (generally whenever the ratio of sample size (n) to population size (N) is 0.05 or more) In other words when sampling fraction (n/N) is 0.05 more. i. S.E. for sample mean ( ̅) ̅ √ √ √∑( ̅) √ √ Where ̅ population size sample size VXplain 2 Score More – post your doubts to us at vxplain@gmail.com Page 1
  • 2. Sampling Theory Revision Sheet December 2, 2010 ii. S.E. for sample proportion √ √ √ √ Where p population proportion population size sample size. 2) Type-2: Problem based on Confidence Interval i) Determination of Confidence Limits or Limits of Parameters for Population Mean ( ̅ ): Confidence Limits Confidence Interval Confidence Level Minimum Maximum ̅ ̅ ̅ 68.27% ̅ ̅ ̅ 90% ̅ ̅ ̅ 95% ̅ ̅ ̅ 95.45% ̅ ̅ ̅ 98% ̅ ̅ ̅ 99% ̅ ̅ ̅ 99.73% ii) Determination of Confidence Limits or Limits of Parameters for Population Proportion (p): Replace ̅ by p in above table. Where p is sample proportion. 3) Type-3: Problem based on Estimation. ̅ i) Value of Z for given Sample Mean is ̅ ii) Sample Size ( ̅) for estimating a mean is ̅ ( ) ( ) iii) Sample Size ( ) for estimating a mean is ( ) Where,E is an error Z corresponding to percentage Confidence Level (e.g. for 95% Confidence Level Z VXplain 2 Score More – post your doubts to us at vxplain@gmail.com Page 2
  • 3. Sampling Theory Revision Sheet December 2, 2010 Revision Problems from ICAI 1) Page no. 15.25 Set A: Theory based question. 2) Page no. 15.28 Set B: a. Type 1 based Questions (Q1 to Q8), b. Type 1& Type 2 based Questions (Q8 to Q15). VXplain 2 Score More – post your doubts to us at vxplain@gmail.com Page 3