Sample Exam

MULTIPLE CHOICE. THERE IS ONLY ONE CORRECT ANSWER

The correlation coefficient?
a. relationship between 2 variables
b. ∑d/SD
c. is the same as a z score
d. is used to represent the distribution
e. none of the above

If the variance of a distribution is 10, SD is?
a. (1002)
b. √100
c. 10 times 10, or 100
d. √10
e. none of the above

Possible values of the Pearson r coefficient?
a. -3.0 to +3.0
b. 0 to 100
c. -1.0 to +1.0
d. can take on any value
e. none of the above

Which shows the highest relationship?
a. -.82
b. .73
c. -.43
d. .81

Approximately what percent of a class can be expected to perform +1 SD, if the group scores are normally distributed?
a. 100%
b. 96%
c. 68%
d. 50%
e. 0%

The reliability on a test is r = 0.98. A person scores 102 on day 1, what score would you expect on the same test the next day:
a. 91.8
b. a score much greater than 102
c. a score much less than 102
d. a score approximately equal to 102
e. none of the above

Y = mX + b
a. predictive validity
b. t-ratio
c. logical validity
d. absolute validity

Sampling error:
a. standard error of the mean
b. standard error of measurement
c. mean squared deviation
d. z score
e. none of the above

For any given set of scores, ∑(X - X) equals?
a. 0
b. SD
c. Variance
d. range
e. none of the above

A high linear positive correlation:
a. is proof that there is a cause and effect relationship
b. indicates high scores are related to low scores
c. depends on a low N
d. is based on the assumption of linearity
e. none of the above

Paired data always correlate r ≥ 0.20:
a. true
b. false

y intercept:
a. for z transformation
b. point on vertical axis where regression line crosses
c. point on horizontal axis where regression line crosses
d. equal to slope when r=.5
e. none of the above

Null hypothesis:
a. refers to correlations
b. refers to hypothesis testing
c. refers to regressions
d. used in calculating t ratio
e. none of the above

t-distribution:
a. refers to correlations
b. nearly the same as z distribution when N is large
c. refers to regression
d. refers to calculating validity
e. none of the above

Root mean squared deviation
a. variance
b. standard error
c. standard deviation
d. standard error of the mean
e. none of the above

If distance runs were used to measure aerobic capacity, a method of validating this type of test as a field test would be:
a. sublime validity
b. construct validity
c. content validity
d. predictive validity
e. none of the above

r = .50 accounts for twice the variance of r =?
a. .354
b. .400
c. .250
d. .225
e. none of the above

The mean in comparison to the median:
a. is effected by extreme scores
b. is uneffected by extreme scores
c. always = to mode
d. is correlated to the SD
e. none of the above

Approximately what percent of a class can be expected to perform in the (Mean +2 SD) range if the group scores are normally distributed?
a. 100%
b. 96%
c. 68%
d. 50%
e. 0%

If the mean of a distribution of scores is 120 and the SD = 12, a z-score of -3 is equivalent to a raw scores of:
a. 120
b. 108
c. 96
d. 84
e. none of the above

If a raw score = 75, and the mean = 60
a. the z score will be negative
b. the z score will both positive and negative
c. the z score will be positive
d. the z score will be = 15
e. there is not enough information to determine the signs of the z

Mean=Median=Mode:
a. occurs when there is positive skew
b. occurs when there is a negative skew
c. occurs when there is symmetrical distribution
d. never occurs
e. none of the above

Content related, criterion related and construct related:
a. refer to t tests
b. refer to types of validity
c. refers to types of reliability
d. related to how to make tests
e. none of the above

Should you use a t distribution, normal distribution, or neither to test a null hypothesis where mean = 142.6, sample SD = 42.7 and n=19. The data are normal and pop. SD is unknown. Ho: µ = 155.4; Hi: µ = 155.4
a. normal distribution
b. neither
c. t distribution

What correlation would you expect for the following data:
X Y
1 2
2 2
3 2
4 2
5 2
a. 1.0
b. -1.0
c. 0.0
d. 0.5
e. none of the above

If we added 5 to each persons Y score in the example above, what would happen to the correlation?
a. decrease
b. increase a little
c. increase a lot
d. not change

What correlation would you expect from the following data:
X Y
1 200
2 300
3 400
4 500
5 600
a. 1.0
b. -1.0
c. 0.0
d. 0.5
e. none of the above

Given the following data: 49, 52,52,52,74,67,55,55. Find the following:
a. Mean
b. Median
c. Mode
d. Range
e. SD
f. Variance
g. ∑x
h. (∑x)2

What is the probability that Z is equal to or greater than 1.03?

Professor Katch’s final exam in MVS 250 is worth 100 point. A’s are awarded to scores of 90 and above. On the last final for this course the mean was 70 and the SD = 10. What is the probability that you will receive an A on this test? What assumption(s) must you make?

A bank’s loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a SD of 50.0. Compute the following:
a. If an applicant is randomly selected, find the probability of a rating between 200 and 275.
b. If an applicant is randomly selected, find the probability of a rating that is below 250.
c. If an applicant is randomly selected, find the probability of a rating that is above 300.

How do you interpret the correlation coefficient? Give a specific example.

The coach of the UM women’s swimming team claims that the average attendance at all swim meets equals to or is greater than 755 non students, and he is therefore justified in wanting a higher salary because of his ability to attract fans to the sport. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in nontechnical terms.

What is the difference between reliability and validity? Give an example of each.

Give a definition and an example of a “Law.”

If the average number of sit-ups in 1 min for college students is 45 with a standard deviation of + 5 sit-ups, what is the probability of doing 55 or more sit-ups in one minute?



Katch’s Kookie Kompany claims its chocolate chip cookies have more chips than Horowitz’s Chocolate Chip Cookies. 120 Katch Kookies and 100 Horowitz cookies were randomly selected and the number of chips in each recorded. The results are:

At the 0.05% level of significance, test the claim that the population of Katch Kookies has a higher mean number of chips.

Someone suggests that in testing hypotheses you can eliminate a type I error by making alpha = 0. In a two-tailed test what critical values correspond to alpha = 0? If alpha = 0, will the null hypothesis ever be rejected?

If a null hypothesis is rejected with a significance level of 0.05, is it also rejected with a significance level of 0.01? Why or why not?

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