Correlation and Standard_Deviation DQ2.docx

download Correlation and Standard_Deviation DQ2.docx

of 1

Transcript of Correlation and Standard_Deviation DQ2.docx

  • 8/10/2019 Correlation and Standard_Deviation DQ2.docx

    1/1

    Correlation and Standard Deviation DQ2

    Discuss the relation between standard scores and the z-scores on which they are

    based (e.g., IQ scores). How do these scores relate to the normal distribution?

    The standard score is simply the score a student will receive from taking a

    standardized test. The student will receive the standard score they received for

    taking the test and will only receive their individual score. The standard

    distribution is found when all of the scores for the standardized test are graphed on

    a histogram to obtain the mean, median, mode. Z-scores are different from the

    standard scores because they are the scores taken when standards test scores are

    calculated to determine a percentile or to determine student averages. The standard

    score relates to normal distribution because it enables the calculation of the

    probability of a score within the normal distribution and allows for comparison of

    two scores that are from different normal distributions (Laerde Sttisics, 2013).

    Normal distributions are the expected range of scores by students taking the IQ

    test. The Z-score calculates the probability of a score occurring within a normal

    distribution.

    Laerde Statistics. (2013). Standard Score. Retrieved October 27, 2014 from

    https://statistics.laerd.com/statistical-guides/standard-score.php