Question 1

If you know the z score, standard deviation(s) , and mean (M) , what formula would you use to compute the raw score (X) ?

Accepted Answer

A)  X = (z + s)  ÷ M
B)  M = z(s)  + X
C)  X = z(s)  + M
D)  z = (M - X)  ÷ s

Question 2

To calculate a z score, you subtract ______.

Accepted Answer

A)  the mean from the raw score and divide this difference by the standard deviation
B)  the mean from the raw score and divide this difference by the variance
C)  the raw score from the mean and divide this difference by the standard deviation
D)  the raw score from the mean and divide this difference by the variance

Question 3

When the left tail of a distribution's curve is longer the right, what is this called?

Accepted Answer

A)  platykurtic
B)  leptokurtic
C)  positive skew
D)  negative skew

Question 4

_______ of scores fall on either side of the distribution.

Accepted Answer

A)  99.5%
B)  68%
C)  50%
D)  95%

Question 5

Events that occur in the extremes of the normal curve have a very small probability of occurring.

Accepted Answer

A) True 
 B)False

Question 6

Which of the following is another name for the normal curve?

Accepted Answer

A)  asymptotic
B)  symmetry
C)  probability
D)  bell-shaped curve

Question 7

z scores that fall above the mean are _______.

Accepted Answer

A)  positive
B)  negative
C)  zero
D)  one

Question 8

Standard scores are raw scores that have been adjusted for the particular mean and standard deviation of the distribution from which they are derived.

Accepted Answer

A) True 
 B)False

Question 9

The percentages or areas under the normal curve can be interpreted as probabilities.

Accepted Answer

A) True 
 B)False

Question 10

What type of standard score is computed by multiplying the z score by 10 and adding 50?

Accepted Answer

A)  IQ score
B)  t score
C)  x score
D)  z score

Question 11

In order to say that a distribution is positively skewed, which of the following must be true?

Accepted Answer

A)  right tail must be longer than left
B)  right tail must be shorter than left
C)  right and left tail must be equal
D)  curve must be bell shaped

Question 12

z scores that fall below the mean are _______.

Accepted Answer

A)  positive
B)  negative
C)  either positive or negative
D)  zero

Question 13

_______ of scores fall within one standard deviation of the mean.

Accepted Answer

A)  99.5%
B)  68%
C)  50%
D)  95%

Question 14

Under the normal curve, if a z score of 1.65 included 45% of the area above the mean, what percentage would remain above 1.65 on the x-axis?

Accepted Answer

A)  5%
B)  25%
C)  85%
D)  95%

Question 15

Which of the following is true of z scores that fall below the mean?

Accepted Answer

A)  They are positive.
B)  They are equal to the mode.
C)  They are negative.
D)  They are in the upper half of the distribution.

Question 16

Under the normal curve, approximately what percentage of scores falls between −1 and −2 standard deviations below the mean?

Accepted Answer

A)  14%
B)  34%
C)  68%
D)  95%

Question 17

If you want to calculate a z score for a test where your raw score was 24, what other information must you know?

Accepted Answer

A)  shape of the distribution
B)  mean, median, and mode
C)  mean and standard deviation
D)  standard deviation only

Question 18

What characteristic of the normal curve deals with skewness?

Accepted Answer

A)  asymptotic
B)  symmetry
C)  probability
D)  mean, median, and mode

Question 19

If you fold a normal curve, each half would fit perfectly on top of the other.This characteristic is known as _______.

Accepted Answer

A)  asymptotic
B)  symmetry
C)  probability
D)  variability

Question 20

If a distribution has a mean of 30 and a standard deviation of 5, how many standard deviations is 60 from the mean?

Accepted Answer

A)  5
B)  6
C)  −6
D)  0

Exam 8: Are Your Curves Normal Probability and Why It Counts

Events that occur in the extremes of the normal curve have a very small probability of occurring.

Correct AnswerverifiedShow Answer

Which of the following is true of z scores that fall below the mean?

Correct AnswerverifiedShow Answer

What characteristic of the normal curve deals with skewness?

Correct AnswerverifiedShow Answer

If you want to calculate a z score for a test where your raw score was 24, what other information must you know?

Correct AnswerverifiedShow Answer

_______ of scores fall on either side of the distribution.

Correct AnswerverifiedShow Answer

z scores that fall above the mean are _______.

Correct AnswerverifiedShow Answer

Standard scores are raw scores that have been adjusted for the particular mean and standard deviation of the distribution from which they are derived.

Correct AnswerverifiedShow Answer

Which of the following is another name for the normal curve?

Correct AnswerverifiedShow Answer

Under the normal curve, if a z score of 1.65 included 45% of the area above the mean, what percentage would remain above 1.65 on the x-axis?

Correct AnswerverifiedShow Answer

If you fold a normal curve, each half would fit perfectly on top of the other.This characteristic is known as _______.

Correct AnswerverifiedShow Answer

If a distribution has a mean of 30 and a standard deviation of 5, how many standard deviations is 60 from the mean?

Correct AnswerverifiedShow Answer

_______ of scores fall within one standard deviation of the mean.

Correct AnswerverifiedShow Answer

To calculate a z score, you subtract ______.

Correct AnswerverifiedShow Answer

What type of standard score is computed by multiplying the z score by 10 and adding 50?

Correct AnswerverifiedShow Answer

In order to say that a distribution is positively skewed, which of the following must be true?

Correct AnswerverifiedShow Answer

z scores that fall below the mean are _______.

Correct AnswerverifiedShow Answer

If you know the z score, standard deviation(s) , and mean (M) , what formula would you use to compute the raw score (X) ?

Correct AnswerverifiedShow Answer

When the left tail of a distribution's curve is longer the right, what is this called?

Correct AnswerverifiedShow Answer

Under the normal curve, approximately what percentage of scores falls between −1 and −2 standard deviations below the mean?

Correct AnswerverifiedShow Answer

The percentages or areas under the normal curve can be interpreted as probabilities.

Correct AnswerverifiedShow Answer

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