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Normal Curve

 Lecture Goals
    You should:
        - understand the importance of the normal curve
         - be able to describe the characteristics of the normal curve
        - understand standard scores
         - be able to calculate standard scores
         - calculate percentiles and percentile ranks using standard scores
 

Reading
    Chapter 5
 
 

Rectangular Shaped Polygon (graph)

 
   

 

Area & Rectangular Polygon (graph)
 
 
 
 
 
 

Area & Rectangles (graph)

 
 

The Area of a Rectangle (graph)

 
   

 

Finding the Area of a Rectangle
    Find the area of the highlighted section (graph)
 
 
 
 
 
 

 
 
 
    Find the area of the highlighted section (graph)
 
 
 
 
 
 
 
 
 
 
 

    Normal Curve (graph)
 
 
 
 
 
 
 
 
 
 
 
 

Bell-shaped curve  (graph)
 
 
 
 
 
 
 
 
 
 
 

Importance
    1) Distributions of common _____________________ (weight, IQ, accuracy)

    2) As sample size ______________ distributions become more "________________"

    3) Some statistical procedures __________ a normal distribution
 

(graphs)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Relative Frequency

  Indicates the _______________ of scores in a category

 

Relative freq. = # scores in category
                                total # scores
 
 
 
 

Cumulative Proportion
    Indicates the ________________ of scores up to and including a category C. P. = sum of R.F.of included categories
 
Relative Frequencies (graph)
 
 
 
 
 
 
 
 
 
 
 
 

Cumulative Frequencies  (graph)
 
 
 
 
 
 
 
 
 
 

 For the general population IQ scores are normally distributed with a mean of 100 and a standard deviation of 16. (graph)
 
 
 
 
 
 
 
 
 
 

What percentage of the general population have IQ scores lower than 52? (graph)
 
 
 
 
 
 
 
 
 
 
 
 

What percentage of the general population have IQ scores lower than 84? (graph)
 
 
 
 
 
 
 
 
 
 
 
 

What percentage of the general population have IQ scores between 84 and 116? (graph)
 
 
 
 
 
 
 
 
 
 
 
 

What percentage of the general population have IQ scores greater than 132? (graph)
 
 
 
 
 
 
 
 
 
 
 
 

What % of the general population have IQ scores less then 52 or greater than 148? (graph)
 
 
 
 
 
 
 
 
 
 
 
 
 
 

To get the answer we:

    1) matched scores to standard deviations from the mean (e.g., m +1s = 116)

        We converted raw scores to _________________________

        Standard scores are also called ____________________
 
 

Standard Scores
    Why Use Standard Scores #1?
        Allows comparisons between scores in _________________________

        Allows comparisons between scores that are not otherwise directly comparable

        How? General formula depends on:
             - distribution _________________

             - distribution _________________

  Percentile Rank & Standard Scores
    z = desired score's distance from the mean
                           standard deviation   z =                                                                                     for populations
 
 

z =                                                                                    for samples
 
 
 
 

What percentile rank of someone with an IQ score of 132?
Remember: m = 100

  s = 16   z =
 
 
 
 

Shows that score 132 is ________ standard deviations form the mean
Called a score transformation

Allows comparisons between scores in different distributions
    Ex. For a normally distributed pop. of rats - m = 300g
- s = 20 g  
                    What is the percentile of rat weighing 340 g?
  Rats z = Xi-m = 340 - 300 = 40 = 2
                s                 20         20   IQ z = Xi-m = 132 - 100 = 32 = 2
            s             16             16
Both the rat's weight and the person's IQ occupy ______________________.....2s from m ......97.72 percentile
 
 

Characteristics of Standard Scores
    Transforming scores to z-scores changes the _____________ of measure
        Ex. IQ of 132 = z-score of 2 S.D.'s from mean
        Transforming does _________________ change the freq. of each score (raw or transformed)
        Z-score and raw score histograms same

  Example: IQ Population scores (graph)
       

 
 
 
 
 

    Z-scores transform raw scores into units based on S.D.

    S.D. = distance form the mean

    The distance from the mean to itself is 0

    Thus, raw scores that are identical to the mean have a z-score of _________

  Proof
    Raw scores that are identical to the mean have a z-score of 0  
z = Xi-m = 100 - 1000 = 0
        s             16          16
 
 
 
    The z-score of the raw value exactly 1 S.D. from the mean = _____
    The z-score of the raw value exactly 2 S.D. from the mean = _____
    The z-score of the raw value exactly 3S.D. from the mean = _____

Proofs

z = Xi-m = (m + 1s ) - m = 1s = 1
      s           s                 

z = Xi-m = (m + 2s ) - m = 2s = 2

s       s                   s z = Xi-m = (m + 3s ) - m = 3s = 3
        s           s                  s

z = Xi-m = (m -1s ) - m = -1s = -1
        s           s               s
 
 
 
 

Why Use Standard Scores #2?
    Can find percentiles without calculating relative and cumulative frequencies  
 
 
General Formula Idea
    1) Match scores to standard deviations
    2) Find score of interest
    3) Find percentile rank by summing areas under appropriate portions of curve       What is percentile rank of someone with an IQ score of 120????   (graph)
 
 
 
 
 
 
 
 

Finding Percentile Ranks
    Old way = complex 6 step process
    New way:  Look at how far the score of interest is from the mean
    Use understanding of normal distribution to determine % of scores above/below score

 
 
 
 
 
Percentile Pts. & Standard Scores
    z = Xi-m = 120 - 100 = 20 =
           s             16           16
 
    Shows that score 120 is _____ standard deviations form the mean  
 
 
 
 
 
Percentiles & Standard Scores

    Okay..so how do we convert 1.25 standard deviations form the mean into a percentile?
    Use _____________________
    A z-score of 1.25 = an area from the mean to the score of __________
 

    What is percentile rank of someone with an IQ score of 120????  (graph)

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