Deck 8: Are Your Curves Normal? Probability and Why It Counts

Question 1

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

A) Shape of the distribution
B) Mean, median, and mode
C) Mean and standard deviation
D) Standard deviation only

Answer 1

C

Question 2

What is the standard used by statisticians to determine the probability of an event occurring outside of chance alone?

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

Answer 2

A

Question 3

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

A) Asymptotic
B) Symmetry
C) Probability
D) Bell-shaped

Answer 3

D

Question 4

What is the z score for a raw score of 85 where the group mean is 75 and the standard deviation is 5?

A) -2
B) 2.5
C) 2
D) -2.5

Question 5

What characteristic of the normal curve deals with skewness?

A) Mean, median, and mode
B) Symmetry
C) Asymptotic
D) Probability

Question 6

Approximately what percent of scores fall between -1 and -2 standard deviations under the normal curve?

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

Question 7

In a distribution with a mean of 100 and a standard deviation of 15, what is the probability that a score will be 115 or higher?

A) 16%
B) 34%
C) 50%
D) 84%

Question 8

What is the basis for the normal curve and inferential statistics?

A) Mean
B) Asymptotic
C) Probability
D) Symmetry

Question 9

What type of standard score has M = 0 and SD = 1?

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

Question 10

If a coin is flipped 10 times, how many combinations or outcomes are possible?

A) 10²
B) 2¹?
C) 10¹?
D) 2²

Question 11

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

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 12

If you know the z score, standard deviation, and mean, what formula would you use to compute the raw score?

Question 13

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

A) Mean, median, and mode
B) Symmetry
C) Asymptotic
D) Probability

Question 14

If a z score of 1.65 included 45% of the area under the normal curve from the mean, what percent remains above 1.65 on the x-axis?

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

Question 15

What percent of all scores fall above a z score of +1?

A) 16%
B) 34%
C) 50%
D) 84%

Question 16

Which of the following is a characteristic of the normal curve?

A) Mean, median, and mode are different
B) Mean and median are the same but mode is different
C) Mean and mode are the same but median is different
D) Mean, median, and mode are the same

Question 17

When we want to infer from a sample to the population, what assumption must be met?

A) Sample is normally distributed
B) Sample is large
C) Population is normally distributed
D) Population is large

Question 18

Approximately what percent of scores fall between the mean and -1 to +1 standard deviations under the normal curve?

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

Question 19

What percent of all scores fall below a z score of +1?

A) 16%
B) 34%
C) 50%
D) 84%

Question 20

Which of the following characteristics is associated with the "tails" of the normal curve?

A) Asymptotic
B) Symmetry
C) Probability
D) Bell-shaped

Question 21

What is the range of scores represented by a normal distribution with a mean of 100 and a standard deviation of 10?

Question 22

What percentage of scores will fall between the mean and 1 standard deviation above the mean?

Question 23

Write the formula for calculating a z score.

Question 24

How many standard deviations are included in a normal distribution with a mean of 100 and a standard deviation of 10?

Question 25

If the null hypothesis claims that there is no difference between groups, what is the likelihood of no difference occurring assumed to be?

Question 26

What are the characteristics associated with the normal curve?

Question 27

The study of probability is the basis for the normal curve and the foundation for what type of statistics?

Question 28

If the z score is -.5 in a distribution with a mean of 50 and a standard deviation of 5, what is the raw score?

Question 29

How is the T score calculated?

Question 30

What do standard scores allow researchers to do that raw scores cannot?