PSY 0371 Week 1 Exam 1 | San Francisco State University | Assignment Help
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PSY 0371 Week 1 Exam 1 | San Francisco State University | Assignment Help
Final Exam-Question 1-3 (Required)Assignment
Question One (25 points)
For the following set of N=6
numbers: 30 40 50
45 48 49
answer the following:
1. Compute the mean
and the median of these numbers.
2. Based solely on the
relationship between the mean and the median, would you say that the
distribution of scores is symmetrical, negatively skewed, or positively skewed?
3. List all possible
samples of size N=4 that you can obtain from the numbers above. (HINT:
There should be 15 such samples.)
4. Compute the mean of
each sample of size N=4 that you gave for your answer to (3).
5. What is the mean of
the sample means that you gave for your answer to (4).
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Question Two (35
points)
For the following set of N=7
numbers: 30 40 50 45 48 49 46
answer the following:
1. Compute the mean of
these numbers.
2. Compute the mean
deviation of each of the N=7 numbers.
3. Compute the squared
mean deviation of each of the N=7 numbers.
4. Compute the
variance of the original set of scores.
5. Compute the
standard deviation of the original set of scores.
6. Transform each
number in the original set of scores into its corresponding z-score.
7. What is the mean of
the z-scores you obtained in (6)?
8. What is the
standard deviation of the z-scores you obtained in (6)?
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Question Three (40
points)
In the table below, X = the average
number of executive orders made per year for the last six Presidents of the
United States, and Y = their approval rating as President:
President |
X=EO’s/year |
zX |
Y=approval rating |
zY |
Obama |
35 |
-.85 |
47.9 |
-.79 |
Bush (G.W.) |
36 |
-.78 |
49.4 |
-.50 |
Clinton |
46 |
-.12 |
55.1 |
.62 |
Bush |
42 |
-.38 |
60.9 |
1.76 |
Reagan |
48 |
.01 |
52.8 |
.17 |
Carter |
80 |
2.12 |
45.5 |
-1.26 |
meanX = 47.83 |
meanY = 51.93 |
stdDevX = 15.15
|
stdDevY = 5.09 |
Answer the following:
1. Draw a scatterplot
for these data.
2. Calculate the
Pearson product-moment correlation coefficient, r.
3. Is this a positive
or a negative correlation?
4. What proportion of
the variance in Y is accounted for by the variance in X?
5. President Trump has
made 51 executive orders. Use linear regression to predict what his
approval rating will be.
6. Calculate the
standard error of estimate for your prediction in (6).
Final Exam-Question 4-5
Submit them directly to Dr. Kim via E-mail: [email protected]
Due: Sunday, December 27
Question Four (10points)
A researcher is interested in whether a new antidepressant drug D has an
effect on people's self-rating of depression. She randomly assigns 12
people into two groups so that each group has 6 people. One group is given drug
D daily, and the other group is not given drug D. Call these the Drug
group and the No Drug group, respectively. After one month of treatment,
all 12 people were asked to rate on a scale from 1 to 7 how depressed they
felt, where 1 = not depressed at all and 7 = very depressed. The
following are the data:
Drug |
No Drug |
2 |
4 |
3 |
5 |
4 |
5 |
4 |
4 |
2 |
6 |
3 |
6 |
nD = 6 |
nND = 6 |
MD = 3 |
MND = 5 |
sD = 0.89 |
sND = 0.89 |
Using an α-level of .05, perform a two-tailed t-test to determine whether there
was an effect of Drug D on depression ratings. Specifically, answer
the following questions:
- What
is the total degrees of freedom for this problem?
- Calculate
the standard error of the difference between sample means.
- Calculate
the t-score for the difference between sample means, MD-MND
- Using
Table T, what is the critical value of t for this problem?
- Based
on the relationship between the value of t you calculated in (3) and the
critical value of t from (4), can the researcher conclude that there is an
effect of Drug D on on depression ratings?
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Question Five (10points)
A graduate student realized that the depression study above in Question
4 should have had a placebo condition in which a third group was given a pill
just as the people in the Drug condition were, but where the pill was not Drug
D (e.g., a sugar pill). So she designed a new experiment with three
conditions -- Drug, No Drug, and Placebo. To perform the experiment, the
graduate student randomly assigned 18 people into the three groups so that each
group has 6 people. After one month of treatment, all 18 people
were asked to rate on a scale from 1 to 7 how depressed they felt, where 1 =
not depressed at all and 7 = very depressed. The following are the data:
Drug |
No Drug |
Placebo |
2 |
4 |
5 |
3 |
5 |
5 |
4 |
5 |
6 |
4 |
4 |
5 |
2 |
6 |
4 |
3 |
6 |
5 |
nD =
6 |
nND =
6 |
nplacebo = 6 |
MD = 3 |
MND = 5 |
Mplacebo = 5 |
Using an α-level of .05, perform an Analysis of Variance (ANOVA) to
determine whether there is a difference among the three conditions.
Specifically, answer the following questions:
- What
is the within condition degrees of freedom, dfwithin?
- What
is the within condition sum of squares, SSwithin?
- What
is the within condition mean squares, MSwithin?
- What
is the between condition degrees of freedom, dfbetween?
- What
is the between condition sum of squares, SSbetween?
- What
is the between condition mean squares, MSbetween?
- Calculate
the F-value for this experiment.
- Using
Table F, choose the appropriate critical value of F for this problem.
- Based
on the relationship between the value of F you calculated in (7) and the
critical value of F you chose in (8), can the researcher conclude that
there is a difference among the three conditions?