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rendalignacio's avatar
8 years ago
Solved

Confidence Level (95%)

  Hi There,   Can anyone assis me on getting the confidence level of 95% (Standard mean deviation) for data 18.   Type Date Data 1 Data2 Data 3 Data 16 Data 17 Data 18 PC3192 17010...
  • BILASolution's avatar
    BILASolution
    8 years ago

    rendalignacio

     

    Here the solution is shown...

     

     

     

     

     

     

    First Picture: Report

    Second Picture: Sample Data Per Date

    Third Picture: Sample Data Per Month

     

    First, I created a new table (Per Month) based of the original table (Per Date).

     

    On the Ribbon: Modeling Tab --> New Table    then...

     

     

    Per Month = SELECTCOLUMNS('Per Date';"Type";'Per Date'[Type];"Month";FORMAT('Per Date'[Date];"MMMM");"Month Number";FORMAT('Per Date'[Date];"M");"Data 18";'Per Date'[Data 18]) 

     

    Note: To Sort the Month Column, select it and go to the Ribbon: Modeling Tab --> Sort By column (Choose Month Number Column)

     

    Measures:

     

     

    Per Date Table:

     

    Confidence Level 95% = 1.96

    Mean = var ty = FIRSTNONBLANK('Per Date'[Type];1) var da = FIRSTNONBLANK('Per Date'[Date];1) return    
                     CALCULATE(AVERAGE('Per Date'[Data 18]);ALL('Per Date');'Per Date'[Type] = ty;'Per Date'[Date] = da)

    std Deviation = var ty = FIRSTNONBLANK('Per Date'[Type];1) var da = FIRSTNONBLANK('Per Date'[Date];1) return
                    CALCULATE(STDEV.P('Per Date'[Data 18]);ALL('Per Date');'Per Date'[Type] = ty;'Per Date'[Date] = da)

    std error of mean = var ty = FIRSTNONBLANK('Per Date'[Type];1) var da = FIRSTNONBLANK('Per Date'[Date];1) return  
                        CALCULATE(DIVIDE([std Deviation];SQRT(COUNTROWS(ALL('Per Date'))));'Per Date'[Type] = ty;'Per Date'[Date] = da)

    Lower Limit = [Mean] - [Confidence Level 95%]*[std error of mean]

    Upper Limit = [Mean] + [Confidence Level 95%]*[std error of mean]

    Out or Within = IF(AND(FIRSTNONBLANK('Per Date'[Data 18];1) >= [Lower Limit];FIRSTNONBLANK('Per Date'[Data 18];1) <= [Upper Limit]);"Within";"Out")

     

    Per Month Table:

     

    Confidence Level 95% 2 = 1.96

    Mean 2 = var ty = FIRSTNONBLANK('Per Month'[Type];1) var da = FIRSTNONBLANK('Per Month'[Month];1) return    
                     CALCULATE(AVERAGE('Per Month'[Data 18]);ALL('Per Month');'Per Month'[Type] = ty;'Per Month'[Month] = da)

    std Deviation 2 = var ty = FIRSTNONBLANK('Per Month'[Type];1) var da = FIRSTNONBLANK('Per Month'[Month];1) return
                    CALCULATE(STDEV.P('Per Month'[Data 18]);ALL('Per Month');'Per Month'[Type] = ty;'Per Month'[Month] = da)

    std error of mean 2 = var ty = FIRSTNONBLANK('Per Month'[Type];1) var da = FIRSTNONBLANK('Per Month'[Month];1) return  
                        CALCULATE(DIVIDE([std Deviation 2];SQRT(COUNTROWS(ALL('Per Month'))));'Per Month'[Type] = ty;'Per Month'[Month] = da)

    Lower Limit 2 = [Mean 2] - [Confidence Level 95% 2]*[std error of mean 2]

    Upper Limit 2 = [Mean 2] + [Confidence Level 95% 2]*[std error of mean 2]

    Out or Within 2 = IF(AND(FIRSTNONBLANK('Per Month'[Data 18];1) >= [Lower Limit 2];FIRSTNONBLANK('Per Month'[Data 18];1) <= [Upper Limit 2]);"Within";"Out")

     

     

    For enhancing the solution, you can analyze the number of "within" by type, date , etc. Try this...

     

    1st Part

     

    2nd Part

     

    3th Part

     

    4th Part

     

    Regards

    BILASolution