Learning Check, Ch 1 A&A

1. A table that shows how many times

each value of a variable occurred: _______________________________________

2. A graph that shows the frequency of scores:_________________________________

3. Techniques for summarizing data: _______________________________________

4. Techniques for drawing conclusions

that go beyond the data collected: ______________________________________

Learning Check, Ch. 2 A&A

1. An intelligence test includes 12 items. Thus, a person could get any number correct between 0 and 12. Each of these numbers correct (0 to 12) that a person could possibly get is called a

a. value.

b. variable.

c. rating.

d. mean.

2. In a histogram, the vertical (up and down) dimension represents

a. possible values the variable can take.b. intensity of the variable.

c. mean score.

d. frequency.

3. When a distribution is negatively skewed, it is likely that

a. there is a floor effect.b. there are more scores piled up at the low

end of the range.

c. the distribution is approximately normal.

d. there is a ceiling effect.

4. A distribution is called __________ when the shape of the distribution on the two sides of the middle are mirror images of each other.

1.When a distribution is positively skewed,

a. the median is greater than the mean.b. the mean and the median are the same.

c. the mean is greater than the median.

d. the mean and the median are equal.

2. The variance of a set of scores is the same as

a. the average of the squared deviations.b. the sum of the squared deviations.

c. the average of the absolute deviations.

d. the sum of the absolute deviations.

3. If the standard deviation of a set of scores is 4, what is the variance?

a. 2b. 4

c. 8

d. 16

4. Which is the correct formula for the mean?

a. M = X/N. b. M = X ²/N.

c. M = (X² )/N.

d. M = (X-M)² /N.

5. In symbols, a deviation score is __________.

Third Learning Check, Ch. 2 [Z-scores]

1. In a distribution of Z scores, the mean is always

a. 10.
b. 1.
c. 0.
d. 50.

2. A positive Z score means its raw score was greater than the mean of the raw scores

a. when the distribution is normal.
b. when the distribution is positively skewed.
c. when the distribution is negatively skewed.
d. in all cases.

3. A Z score of 2.0 came from a distribution which had a mean of 80 and a standard deviation of 10. What is the corresponding raw score?

a. 82
b. when the distribution is positively skewed.
c. when the distribution is negatively skewed.
d. in all cases.

3. A Z score of 2.0 came from a distribution which had a mean of 80 and a standard deviation of 10. What is the corresponding raw score?

a. 82
b. 90
c. 100
d. 170

4. A person's raw score is 7, the mean is 13, and the standard deviation is 3. What is the person's Z score?

a. -2
b. -1
c. 1
d. 2