Question

True or False:

**A. You can perform a two-way ANOVA only when the sample
sizes are the same in all cells.**

**B. When interaction is present in a two-way ANOVA, the
main effects are always uninformative.**

**C. ANOVA assumes that the populations are Normal with
possibly different means and the same standard deviation and that
independent simple random samples are drawn from each
population.**

**D. ANOVA separates the total variation into parts of the
model and error. The model variation is separated into parts for
each of the main effects and the interaction.**

**E. There are three null hypotheses in a two-way ANOVA
with an F test for each**

Answer #1

A) **True** You can only perform a two way ANOVA
only when the sampe sizes are the same in all cell.

B) **False** The main effects are not always
uniformative when interaction is present in a two way ANOVA.

C) **True** ANOVA assumes that the
populations are Normal with possibly different means and the same
standard deviation and that independent simple random samples are
drawn from each population.

D)
**True** ANOVA separates the total variation into
parts of the model and error. The model variation is separated into
parts for each of the main effects and the interaction.

E)
**True** There are three null hypotheses in a two-way
ANOVA with an F test for each.

Hope you thumbsup for the answer. Be Safe. :)

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...

1. A “one-way” between-subjects ANOVA is conducted when data are
recorded in one group.
True
False
2. Post hoc tests control for the total alpha level for a series
of tests conducted on the same data.
True
False
3. All post hoc tests control for the effect size of a
significant result.
True
False
4. A one-way between-subjects ANOVA is conducted to test for
mean differences between the levels of two or more factors.
True
False
5. A researcher conducts...

1. Using the two-way mixed ANOVA, different participants are
observed at each level of the between-subjects factor, and the same
participants are observed across the levels of the within-subjects
factor. TRUE OR FALSE
2. A researcher computes two 2 × 2 between-subjects ANOVAs. In
Study 1, he observes 8 participants in each cell; in Study 2, he
observes 12 participants in each cell. Which study is associated
with a larger value for degrees of freedom for the A × B...

Q1. Why would you perform a one-way ANOVA over
a t-test? Is the answer, when the population means of only two
groups is to be compared, a t-test is used, but
when means of more than two groups are to be compared,
ANOVA is preferred (Y/N)
Q2. A rag-tag group of bandits crash the party
to steal candy. In a frenzy, you carefully record the numbers of
different candies that group grabbed. You arrange
the data in a table, below:...

Part
1
What assumptions need
to be satisfied in order to perform ANOVA? Select all that
apply.
a) The observations from each group (or treatment
or population) should adhere to
approximately normal distributions.
b) The variances (or standard deviations) of the
groups (or treatments or
populations) should be the same.
c) The samples must be simple random samples, and
independent of each other.
d) The sample sizes for the groups must be exactly
the same, and also happy.
Part 2...

1.You obtained a significant F ratio when comparing
three treatments in a one-way ANOVA. In words, how would you
interpret the alternative hypothesis?
A.All three treatments have different effects on the mean
response.
B.Exactly two of the three treatments have the same effect on
the mean response.
c.At least two treatments are different from each other in terms
of their effect on the mean response.
D.The alternative hypothesis should be rejected.
c.None of the above.
2.In a multiple regression analysis,...

T F 1. A p-value of .008 in hypothesis testing means there is
only a .8% chance we could get such sample statistics from the
population if the null hypothesis is as stated. Such an event is
considered unlikely and we would reject the null hypothesis.
T F 2. As a general rule in hypothesis testing, it is always
safer to set up your alternate hypothesis with a greater-than or
less-than orientation.
_____3. If the level of significance is .02...

1) When we fit a model to data, which is typically larger?
a) Test Error b) Training Error
2) What are reasons why test error could be LESS than training
error? (Pick all that applies)
a) By chance, the test set has easier cases than the training
set.
b) The model is highly complex, so training error systematically
overestimates test error
c) The model is not very complex, so training error
systematically overestimates test error
3) Suppose we want to...

The table to the right shows the cost per ounce (in dollars)
for a random sample of toothpastes exhibiting very good stain
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alphaequals0.025, can you conclude that the mean costs per ounce
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through d. Assume that each sample is drawn from a normal
population, that the samples are independent of each other, and
that the populations have the same variances....

1.The sample mean is an unbiased estimator for
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The sample mean always equals the population mean.
The average sample mean, over all possible samples, equals the
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The sample mean will only vary a little from the population
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The sample mean has a normal distribution.
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The standard error of the sample mean will decrease as the
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