Question

1. A criminologist developed a test to measure recidivism, where low scores indicated a lower probability of repeating an undesirable behavior. The test is normed so that it has a mean of 140 and a standard deviation of 40.

a. What is the percentile rank of a score of 172?

b. What is the Z score for a test score of 200?

c. What percentage of scores fall between 100 and 160?

d. What proportion of respondents should score above 190?

Answer #1

Normal chart is distributed 34% first sigma , 12.5 % second
sigma , 2.5% 3 sigma.

a. z = (x - m)/s

Given,

z = z-score

x = data point

m = mean

s = standard deviation

z = (172 - 140)/40

z = .8

.8 * 34 = 27.2

27.2 + 50 = 77.2 percentile.

b. z = (200 - 140)/40

z = 1.5

c.

let's find the z-scores of 100 and 160,

for x=100

z = (100 - 140)/40

z = -1

percentiles

50 -1(34) = 16%

for x=160

z = (160 - 140)/40

z = .5

percentiles

50 + .5(34) = 67%

hence, 67-16 = 51% falls between 100 and 160

d. Z-score of 190,

z = (190 - 140)/40

z = 1.25

percentile

50 + 34 + .25(13.5) = 87.38% will score under 190, so 100 - 87.38 =
12.63%

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