PLUS TWO MODEL QUESTION PAPER

പുതുക്കിയ സിലബസ് പ്രകാരമുള്ള മോഡൽ ചോദ്യപേപ്പർ പ്രസിദ്ധീകരിച്ചു.
ചോദ്യപേപ്പറിനു ഇവിടെ ക്ലിക്ക്  ചെയ്യുക.
അഭിപ്രായങ്ങൾ കമന്റ് ചെയ്യുക.

PRACTICAL GUIDELINES

 The   subject   statistics   has   a   wide   range   of   practical   application   in   all   walks   of   life.               Use   of   proper data and its analysis are very importance.In the present scenario of outcome based approach, the learning activities should go hand in hand with the related practical situations. Now a day’s almost all data analysis can be successfully done using computers.

The   guidelines   for   conducting   practical   examination   for   higher   secondary   STATISTICS   are   given below in detail.

There will be Practical Evaluation only for second year students ,but the portions from first year
also included in examination .Teachers can conduct lab works in first year itself (if needed),but the
final assessment  will be done only at the end of second year.

Maximum Score : 40           Maximum time allowed: 3 hrs.

Topics for PE 
    1.          Diagrams and graphs

              Simple Bar diagram,    Multiple  bar   diagram,     Sub divided    bar  diagram,
              Percentage     bar  diagram,    pie diagram, Histogram, Scatter diagram, 
              Control charts using line charts(SQC).

   2.          Descriptive    statistics

               Construction      of  frequency     table,   Mean,    median,  mode,  quartiles,  
               skewness, kurtosis.    Normal probability,Poisson probability , 
                Binomial probability 

   3.      Correlation and Regression
  
              Karl   Pearson’s   coefficient   of  correlation,   Regression equations,    
              Forecasting using  Regression equations,Trend  line fitting (straight   line),   
              Estimation   of   trend values, moving averages. 

    4           Testing of Hypothesis  

             Z test - two sample for means,          Ftest – ANOVA one variable, 
              Chi square test for independence.



Evaluation Process

The question paper contains four sections related to the topics given above which will be supplied
by DHSE to the external examiner. Each section carries 4 questions. External examiner can prepare
question    paperconsists  of  four  questions.  External   examiner  should  ensure  that  there  is  one
question from each section. Change of question paper may be allowed with a penalty of 2 scores
for each change.

Each question carries 8 scores.                               8x4 =    32 scores
Record work.                                                                      4 scores
Content awareness/Viva voce                                              4 scores

                                                      Total           40 scores

Score distribution for each question:

    1.  Identifying the questions               …………………………………………..             1
    2.  Data entry                              …………………………………………..                  2
    3.  Selecting appropriate statistical tool  …………………………………………..         2
    4.  Processing the data                     …………………………………………..              2
    5.  Interpretation of the result/conclusion …………………………………………..        1

        Total Scores                            …………………………………………..                  8

*** All the problems should be done using computer

        For practical examination

             Computerized procedure
             Output of the problem
             Inference


Contents of Record

*Different types of problems from the PE topics cited above.

1        Diagrams and graphs

        Simple Bar diagram                         - one problem
        Multiple bar diagram                       - one problem
        Sub divided bar diagram                 - one problem
        Percentage bar diagram                   - one problem
        Pie diagram                                     - one problem
        Histogram                                        - one problem
        Scatter diagram                                - one problem
        Control charts                                  - one problem

                                                               8    problems

2        Descriptive  statistics

        Construction of frequency table                                       - one problem
       Mean, median, mode, quartiles, skewness, kurtosis.         - one problem
        Normal probability                                                         - one problem
        Poisson probability                                                         - one problem
      Binomial probability                                                          - one problem

                                                                                               5 problems
3       Correlation and Regression

        Karl Pearson’s coefficient of correlation                 - one problem
        Regression equations                                             - Two problems ( Yon X  and XonY)
        Forecasting using Regression equations                  - one problem
        Trend line fitting (straight line)                                 - one problem
        Estimation of trend values                                       - one problem
        Moving averages                                                   - two problems (odd,even cases)

                                                                                    8 problems 
4        Testing of Hypothesis

        Z test - two samples for means                 - two problems
                                                                        (Population SD known & unknown)
       F test – ANOVA one variable                   - two problems (Row and Column)
       Chi square test for independence               - one problem

                                                                           5 problems
Total 26 problems

Structure of Record:

     Aim                                       : The objective of the problem.
     Principle                                : Theory of the problem.
     Computational procedure       : The PATH for solving the problem using computer.
     Data analysis                         : Computer printout or manual write up.
     Inference                               : Interpretation / conclusion.

Reference

Statistics made simple do it yourself on PC, by K.V.S.Sarma, Prentice- Hall of India Pvt. Ltd.
Any book related to these areas.