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picture1_Frequency Distribution Ppt 69026 | Lecture22


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File: Frequency Distribution Ppt 69026 | Lecture22
is the die loaded categorical random variable the box model the random variable is not numerical the random variable is categorical there are 6 mutually exclusive categories each observation falls ...

icon picture PPTX Filetype Power Point PPTX | Posted on 29 Aug 2022 | 3 years ago
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  Is the die loaded?
    Categorical Random Variable
                         The Box Model
    The random variable is not Numerical
    The random variable is “Categorical”
    There are 6 mutually exclusive categories
    Each observation falls in one and only one category
    We don’t calculate the average number of spots of the 60 observations
    We tabulate the frequency with which each category occurs
         Observed frequencies
         Roll the die n = 60 times.                   The sample average is 3.75; 
                                                      but we are interested in the total distribution
    Incorrect: z-test Box Model
     3 spots: high frequency
     n = 60
     Count = Sum of 1s = 17 
     Expected value = 60 x 1/6 =  10
     Average of Box = 1/6
     SD of Box =                         0.37
     SE =               SD of Box      2.9
     z = (17 - 10) / 2.9 = 2.4
     p = 1%
      
        “Data Snooping”
         Incorrect Null Hypothesis:                      Must formulate Null Hypothesis
         “The chance of getting 3 spots is 1/6”          before you run the trial
         This Null Hypothesis is formulated              Correct Null hypothesis:
         after the fact (!).                             “The die is fair”
         With multiple categories, 
         one of them is likely 
         to have a large z-value
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...Is the die loaded categorical random variable box model not numerical there are mutually exclusive categories each observation falls in one and only category we don t calculate average number of spots observations tabulate frequency with which occurs observed frequencies roll n times sample but interested total distribution incorrect z test high count sum s expected value x sd se p data snooping null hypothesis must formulate chance getting before you run trial this formulated correct after fact fair multiple them likely to have a large...

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