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picture1_Anova Ppt 69090 | Part 3 Compare Means


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File: Anova Ppt 69090 | Part 3 Compare Means
the r s b n level measurement data treatment appropriate tests parametric statistics analysis of differences compare means contents 1 t test independent samples 2 t test paired samples 3 ...

icon picture PPTX Filetype Power Point PPTX | Posted on 29 Aug 2022 | 3 years ago
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 The R/s b/n Level measurement data treatment, appropriate 
 tests 
    Parametric Statistics: 
    Analysis of differences
    Compare Means 
    contents
    1. T-test: independent samples 
    2. T-test: paired samples 
    3. One-way ANOVA 
      Compare means
      1. Independent T-test
  Quick facts 
  
    Number of variables 
   
    One independent (x)
   
    One dependent (y) 
  
   Scale of variable(s) 
   
    Independent: categorical with two values (binary) eg. sex 
    
     Dependent: continuous/scale (ratio/interval) 
   In many real life situations, we cannot determine the exact 
    value of the population mean 
    We are only interested in comparing two populations using a 
    random sample from each are called sample mean. 
    Such experiments,  where  we  are  interested  in  detecting 
    differences between the means of two independent groups 
    are called independent samples test    (     - --  )
   The t-test is used to determine whether sample has different 
    means
   
    The independent t-test is a method for comparing the mean of 
   one dependent  variable between two (unrelated) groups E.g. sex
   
     For example, you may want to see if salary differs between 
   male and female teachers
   
     
   Mean salary among male      Mean salary among female
  
    It  tests whether the mean of one sample is different from the 
   mean of another sample  
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...The r s b n level measurement data treatment appropriate tests parametric statistics analysis of differences compare means contents t test independent samples paired one way anova quick facts number variables x dependent y scale variable categorical with two values binary eg sex continuous ratio interval in many real life situations we cannot determine exact value population mean are only interested comparing populations using a random sample from each called such experiments where detecting between groups is used to whether has different method for unrelated e g example you may want see if salary differs male and female teachers among it another...

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