Extra Statistics Practice: 1) 1) A normal distribution of scores has a standard deviation of 10. Find the z-score corresponding to each of the following values: a) A score that is 20 points above the mean. b) A score 10 points below the mean. c) A score 15 points above the mean. d) A score 30 points below the mean. 2) The Wechler Adult Intelligence Test Scale is composed of a number of subtests. On one subtest, the scores have a mean of 35 and a standard deviation of 6. Assuming the scores form a normal distribution: a) What number represents the 65th percentile? b) What number represents the 90th percentile? c) What is the probability of getting a score between 28 and 38? d) What is the probability of getting a score between 41 and 44? 3) Scores on the SAT form a normal distribution with =500 and =100. a) What is the minimum score necessary to be in the top 15% of the SAT distribution? b) Find the range of values that defines the middle 80% of the distribution of SAT scores. 4) For a normal distribution, find the z-score location that separates the distribution as follows: a) Separate the highest 30% from the rest of the distribution. b) Separate the lowest 40% from the rest of the distribution. c) Separate the highest 75% from the rest of the distribution. --------------------------------------------------------------------------------------------------------------------------------SOLUTIONS - PRACTICE PROBLEMS – Z SCORES 1) A normal distribution of scores has a standard deviation of 10. Find the z-score corresponding to each of the following values: a) A score that is 20 points above the mean. (z = +2.0) b) A score 10 points below the mean. (z = -1.0) c) A score 15 points above the mean. (z = +1.5) d) A score 30 points below the mean. (z = -3.0) 2) The Wechler Adult Intelligence Test Scale is composed of a number of subtests. On one subtest, the scores have a mean of 35 and a standard deviation of 6. Assuming the scores form a normal distribution: a) What number represents the 65th percentile? (37.34) We are looking for the z-score associated with 65% of the curve, so we look for the z that is goes with 65%. z=0.39 is closest, so we use that. z = (x – μ)/σ .39 = (x – 35)/6 x = 37.34 b) What number represents the 90th percentile? (42.68) Same procedure as above. c) What is the probability of getting a raw score between 28 and 38? (.5705) First find z-scores associated with 28 (z=-1.17) and 38 (z=+0.50). Look up the percents associated with these z-scores and subtract them. You will get0.5705 or 57.05% d) What is the probability of getting a raw score between 41 and 44? (.0919) Same procedure as above. 3) Scores on the SAT form a normal distribution with =500 and =100. a) What is the minimum score necessary to be in the top 15% of the SAT distribution? (604) To get the top 15% that means we are looking at the a value with 85% below it. Look up the z-score associated with 85% or .85 and the closest z-score is 1.04. Once you have z, use the steps in #2a to find x. b) Find the range of values that defines the middle 80% of the distribution of SAT scores. (372 and 628) Looking for middle 80% of distribution, therefore 40% either side of mean. Look up z-score associated with 90% (50% + 40%) and 10% (50% - 40%). The closest z-score is 1.28 and -1.28. once we have each z-score, we use the same procedure as #2a to find both x values. 4) For a normal distribution, find the z-score location that separates the distribution as follows: a) Separate the highest 30% from the rest of the distribution. (z=+0.52) Highest 30% means 70% is below that value. Look up the z-score associated with 70% and you get z = .52 b) Separate the lowest 40% from the rest of the distribution. (z=-0.25) Look up the z-score associated with 40% and you get z = -0.25. c) Separate the highest 75% from the rest of the distribution. (z=-0.67) Highest 75% means 25% below that value. Look up z-score associated with 25% and you get z = -0.67 From: PSYCHOLOGY 2910 WINTER 2009 http://dogsbody.psych.mun.ca/2910/Practice%20Problems%20-%20z-scores%20-%20solutions.pdf