- (4 pts) t distribution.
Use the linked SPSS syntax file to explore sampling
distributions of z and t. Please run the file in
SPSS and do the following.
- I. Next to each of the first five histograms, write a concise
description of what each is a histogram of.
- II. Estimated population variance:
(A) On each histogram
of the sample variances (i.e., S_V_N and S_V_NMO), circle the
distribution's mean that is printed in the figure
legend.
(B) On each histogram of the sample variances (i.e.,
S_V_N and S_V_NMO), mark its mean with a vertical
line.
(C) Circle and annotate the point in the SPSS program,
printed at the very beginning of the output, that specifies the
variance of the population distribution. (To see the commands
in the output, be sure you have them displayed in the output. Edit ->
Options -> Viewer tab -> In the "Initial Output State" box, select
item Log and check the box at the bottom that says "Display commands
in the log".)
(D) Which form of sample variance, the form
that divides by N or the form that divides by N-1, has expected value
closest to the population variance? Write your answer next to the
corresponding histogram.
- III. Critical values for z:
(A) From the
z-tables in the textbook, what are the critical z
values for a 5% type-I error rate, one-tailed and two-tailed? Write
these next to the sampling distributions of z (fourth and
sixth histograms).
(B) Consider the sampling distributions
of z generated by SPSS. According to the percentiles listed
in the table near the beginning of the SPSS printout, what are the
critical z values for a 5% type-I error rate, one-tailed and
two-tailed?
(C) With vertical lines, mark the textbook
critical values and the SPSS-generated critical values on the second
z histogram; i.e., on the sixth, next-to-last histogram.
- IV. Critical values for t:
(A) From the
t-tables in the textbook, what are the critical t
values for a 5% type-I error rate, one-tailed and two-tailed? What
df do you use and why? Write your answer next to the sampling
distributions of t (i.e., the fifth and seventh histograms).
(B) Consider the sampling distributions of t
generated by SPSS. According to the percentiles listed in the table
near the beginning of the SPSS printout, what are the critical
t values for a 5% type-I error rate, one-tailed and
two-tailed?
(C) With vertical lines, mark the textbook
critical values and the SPSS-generated critical values on the second
t histogram; i.e., on the seventh, last histogram.
- (4 pts) Power of t-test.
Use the linked SPSS syntax file to explore
the power of a t test. Please run the file in SPSS and do the
following.
- I. Critical value of t from null hypothesis:
(A) What is the sample size used in this program? What are
the df in this case?
(B) From the Appendix in the
textbook, report the critical t values for a one-tailed test
with Type-I error rates of 10%, 5% or 1%. Make sure you use the
correct df. (Note: I'm having you do this for
a one-tailed test, despite the fact that you'll never use a one-tailed
test in real research, only becaue the Monte Carlo results are more
stable for larger percentages; that is, the Monte Carlo percentages
will better match the theoretical values in the
t-table.)
(C) On the SPSS printout of
percentiles, circle and annotate the corresponding estimated critical
values for t.
(D) On the second histogram (i.e.,
the graph with x-axis range -3 to 7), mark these correct and
SPSS-estimated critical values, using vertical lines.
- II. Power for small effect size.
(A) Circle and annotate the
part of the SPSS program that specifies a population distribution with
a small effect size (d=.2).
(B) Using the SPSS output table,
estimate the percentile, in this alternative hypothesis sampling
distribution, of the 5%-critical value in the null hypothesis sampling
distribution. What, therefore, is the power of this test?
(C) Find the corresponding power listed in Table 7-9, p. 260,
and report it.
(D) On the fourth graph, mark the 5% critical
value with a vertical line, and mark the area of the histogram that
corresponds to the power of the test. (Notice that the t
distribution is not symmetrical.)
- III. Power for moderate effect size.
(A) Circle and annotate
the part of the SPSS program that specifies a population distribution
with a moderate effect size (d=.5).
(B) Using the SPSS
output table, estimate the percentile, in this alternative hypothesis
sampling distribution, of the 5%-critical value in the null hypothesis
sampling distribution. What, therefore, is the power of this test?
(C) Find the corresponding power listed in Table 7-9, p. 260,
and report it.
(D) On the sixth graph, mark the 5% critical
value with a vertical line, and mark the area of the histogram that
corresponds to the power of the test. (Notice that the t
distribution is not symmetrical.)
- IV. Power for large effect size.
(A) Circle and annotate the
part of the SPSS program that specifies a population distribution with
a large effect size (d=.8).
(B) Using the SPSS output table,
estimate the percentile, in this alternative hypothesis sampling
distribution, of the 5%-critical value in the null hypothesis sampling
distribution. What, therefore, is the power of this test?
(C) Find the corresponding power listed in Table 7-9, p. 260,
and report it.
(D) On the eighth graph, mark the 5% critical
value with a vertical line, and mark the area of the histogram that
corresponds to the power of the test. (Notice that the t
distribution is not symmetrical.)
- (4 pts)
p. 273 #14. Assume a two-tailed
test. Do this by hand and annotate your work, but do not do
parts (a)-(c). Verify your answer in SPSS and include a print out.
- (4 pts)
p. 274 #18. Assume a two-tailed
test. Do the t-test by hand and annotate your work, but do not do
parts (a), (b) or (c). Verify your answer in SPSS and include a print out.
If you want more practice, try exercises #17 and #20
| After | Before |
| 5 | 9 |
| 4 | 7 |
| 7 | 8 |
| 6 | 5 |
| 9 | 6 |
| 8 | 3 |
| 11 | 4 |
| 10 | 1 |
| 12 | 2 |
- (5 pts) Why SPSS tells you about the correlation when
you do a paired-samples t-test,
Consider a group of people who attend a self-help seminar. At the
beginning and end of the seminar the people are asked to provide a
rating of self-confidence, on a scale of 1 to 12. The results from
nine people are shown in the table at right. Enter these data into
SPSS, and then compute the difference scores for each subject (use
menu Transform/Compute...).
- A. Do a one-sample t-test on the difference scores. Can we reject the
null hypothesis that the self-help seminar has no effect on mean
self-confidence?
- B. Do a paired-samples t-test on the after and before scores. Can we
reject the null hypothesis that the self-help seminar has no effect on
mean self-confidence?
- C. The two tests (one-sample and paired-sample) should agree
exactly. Do they?
- D. Is there a significant relationship between the before and after
scores? The answer is YES, despite the fact that there is not a
significant difference in the means before and after. What is the
relationship and where is this indicated in the SPSS t-test output?
(Hint: Consider a scatterplot of the before and after scores. What
happens to people who start off with low self-confidence? What happens
to people who start off with high self-confidence? Would you recommend
this seminar to someone who is already feeling pretty good?)
- (4 pts) Confidence intervals in SPSS.
How did SPSS compute the confidence interval (CI) for the previous
problem? The answer: Recall that for z-scores, the CI is
M-zcritSEM to
M+zcritSEM. SPSS computes the CI for t
in the analogous way, as M-tcritSEM to
M+tcritSEM. Let's verify that this matches the
output provided by SPSS:
- A. What is M in this case? (The answer is 3.0. Mark and annotate this on
the SPSS printout.)
- B. What is SEM in this case? (The answer is 1.7078. Mark and
annotate this on the SPSS printout.)
- C. What is tcrit in this case? Look it up (for 8 df, 5%,
two-tailed).
- D. Verify that the CI in the SPSS output is
M-tcritSEM to
M+tcritSEM. That is, write down these formulas
and show the equivalence with the SPSS confidence interval.