Exam 6: Probability and the Normal Distribution

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What z-score value is associated with the highest 66% of a normal distribution?

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z = -.41

In a normal distribution, what proportion of the population will have a z-score between -.23 and -.84?

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D

For a normal distribution, determine a. p(z > -.23) b. p(z > +2.15) c. p(z < -1.29) d. p(z < +.58)

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a.p(z > -.23) = .5910
b.p(z > +2.15) = .0158
c.p(z < -1.29) = .0985
d.p(z < +.58) = .7190

A normally distributed set of scores has a μ = 25 and σ = 4. What percentage of scores can be expected to score higher than 20?

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In a normal distribution, what is the probability of obtaining z-scores a. greater than +2.00 b. greater than -1.00 c. less than -.50 d. less than +3.00

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What z-score is associated with the lowest 2.5% of a normal distribution?

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What column of the normal distribution table would identify the proportions associated with the following z-scores? a. greater than +1.59 Column _________ b. greater than -2.36 Column __________ c. less than -1.78 Column __________ d. less than +.42 Column __________

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For a normally distributed set of scores with a μ = 78 and σ = 9, find a. p(83 < X < 98) b. P(62 < X < 88)

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Column D of the Normal Distribution Table

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What z-score value separates the lowest 5% of a normal distribution from the highest 95%?

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Column B of the Normal Distribution Table

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A normally shaped distribution has a μ= 25 and a σ = 3. What raw score separates the upper 13% of the distribution from the lower 87%?

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To say that the tails of the normal distribution are asymptotic means that

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In a normal distribution, find the proportion under the curve between the mean and a z-score of a. +1.00 b. -2.59 c. .42

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What proportion of the normal distribution is associated with z-scores greater than -1.50?

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In a normal distribution, what proportion of the population will score between the mean and a z-score of -1.00?

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What z-score is associated with the highest 60% of a normal distribution?

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For a normal distribution, p(z > +1.78) =

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What is the probability of drawing an ace from a deck of cards?

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For a normally shaped distribution with a μ = 54 and σ = 6, what raw scores are so extreme that they will be achieved by only 11% of the population?

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