Suppose we want to test whether or not three means are equal. We
want to perform...
Suppose we want to test whether or not three means are equal. We
want to perform this test with a 4% significance level.
If we perform an ANOVA test, what is the probability of the test
producing accurate results (avoiding a Type I error)?
Suppose we, instead, run three separate hypothesis tests
(t-tests), each with 4% significance level.
Mean 1 = Mean 2
Mean 1 = Mean 3
Mean 2 = Mean 3
What is the probability that all three...
Part a: If the interaction in a two-way factorial ANOVA
is significant, then
A.
we need...
Part a: If the interaction in a two-way factorial ANOVA
is significant, then
A.
we need to test for all main effects.
B. we need to test for simple effects.
C.
we need to test for one of the main
effects.
D. None of above.
Part B: When testing for significant mean differences
among three groups means, doing independent t tests on all possible
pairwise comparisons will
A.not change the probability of a Type I
error.
B. increase the probability...
Suppose we want to test whether or not three means are equal. We
want to perform...
Suppose we want to test whether or not three means are equal. We
want to perform this test with a 10% significance level.
If we perform an ANOVA test, what is the probability of the test
producing accurate results (avoiding a Type I error)?
Suppose we, instead, run three separate hypothesis tests
(t-tests), each with 10% significance level.
Mean 1 = Mean 2
Mean 1 = Mean 3
Mean 2 = Mean 3
What is the probability that all three...
Three independent diagnostic tests T1, T2, T3 are run on the
same patient. The probabilities that...
Three independent diagnostic tests T1, T2, T3 are run on the
same patient. The probabilities that these tests will give correct
results are respectively: 90%, 85%, 80%. What is the probability
that at least one test will result in error?
Please explain :)
HW 6: z-test, t-test for independent samples, t-test for related
samples, 1-way ANOVA
Researchers wanted to...
HW 6: z-test, t-test for independent samples, t-test for related
samples, 1-way ANOVA
Researchers wanted to explore different treatment methods to
effect memory skills in high school freshmen. Subjects were given a
memory test (under multiple conditions) these were the results:
Group 1
10, 8, 9, 11,
8, 9, 7, 6,
9, 8
Group 2
12, 10,
11, 9, 13, 8, 9, 12, 11, 11
Group 3
10, 9, 10, 9, 11,
8, 7, 9, 10, 11...