Normal Curve and Score Transformations Flashcards

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Fill-in-the-blank practice flashcards covering normal curve properties, kurtosis, percentile ranks, and score transformation formulas.

Last updated 5:26 AM on 10/7/26
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21 Terms

1
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In a normal distribution, the skewness is __________.

zero (i.e., no skew)

2
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In terms of modality, a normal distribution is described as __________.

unimodal

3
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In terms of kurtosis, a normal distribution is classified as __________.

mesokurtic

4
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A distribution with fatter tails, a higher number of outliers, and a kurtosis greater than zero is called __________.

leptokurtic

5
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A distribution with thinner tails, a smaller number of outliers, and a kurtosis less than zero is called __________.

platykurtic

6
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In a normal curve, approximately __________% of scores fall within ±1 SD\pm 1\,SD of the mean.

68.26

7
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In a normal curve, approximately __________% of scores fall within ±2 SD\pm 2\,SD of the mean.

95.44

8
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In a normal curve, approximately __________% of scores fall within ±3 SD\pm 3\,SD of the mean.

99.74

9
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A percentile rank expresses the percentage of scores that fall __________ a specific raw score.

below

10
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In the percentile rank formula PR=nLN(100)PR = \frac{n_L}{N}(100), nLn_L represents the __________.

number of scores in the distribution lower than score being transformed

11
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Transforming scores to percentiles distorts the underlying measurement scale because percentiles do not form an __________ scale of measurement.

interval

12
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A standard normal distribution of ZZ scores has a mean of __________ and a standard deviation of __________.

00 and 11

13
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The formula to calculate a ZZ score from a raw score XX is Z=Z = __________.

X−MSD\frac{X - M}{SD}

14
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Deviation IQ scores used in Wechsler aptitude scales have a mean of __________ and a standard deviation of __________.

100100 and 1515

15
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CEEB scores used in educational testing (such as the SAT or GRE) have a mean of __________ and a standard deviation of __________.

500500 and 100100

16
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Personality tests such as the MMPI-2 use TT scores, which have a mean of __________ and a standard deviation of __________.

5050 and 1010

17
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The generic formula used to transform a ZZ score into a new score distribution X′X' is X′=X' = __________.

(Z)(SD)+M(Z)(SD) + M

18
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When rounding standardized scores, ZZ scores are rounded to the __________ place, while TT, IQ, and CEEB scores are rounded to __________.

hundredths; whole numbers

19
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In a normal distribution, a score 1 SD1\,SD above the mean corresponds to an approximate percentile rank of __________.

84

20
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In a normal distribution, a score 2 SD2\,SD above the mean corresponds to an approximate percentile rank of __________.

98

21
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In a normal distribution, a score 1 SD1\,SD below the mean corresponds to an approximate percentile rank of __________.

16