Question

- In a two-factor analysis of variances (say Factor A and Factor B), how many hypotheses need to be tested? Please list all the hypotheses to be tested and explain what exactly is tested in each hypothesis.

Answer #1

There should be three hypotheses need to be tested.

1. Hypothesis of Factor A.

Ho: The mean of the observation between the levels of Factor A are the same.

H1: The mean of the observation between the levels of Factor A are not the same.

2. The hypothesis of Factor B

Ho: The mean of the observation between the levels of Factor B are the same.

H1: The mean of the observation between the levels of Factor B are not the same.

3. Interaction effect of Factors A and B.

Ho: There is no interaction effect of Factors A and B.

H1: There is an interaction effect of Factors A and B.

Cladograms are hypotheses and can be tested repeatedly as new
information becomes available. List TWO other types of data besides
skeletal/skull structures and external features that could be
included in a cladistic analysis. Explain why you think these data
could be useful.

TRUE OR FALSE
_________ 77. Factor analysis is usefully
employed when there is a need to determine the direction of
causality between two or three variables.
________ 78. Multidimensional
scaling addresses the general problem of positioning objects in a
perceptual space.
________ 79. A limitation in the
use of conjoint analysis is the necessity of dividing each
attribute level into discrete levels.
________ 80. Discriminant
analysis does not provide a test of statistical significance.

Why is the identification of favorable and unfavorable variances
so important to a company? How can the identification of the
variances help management control costs? Please explain.
As you are considering the flexible budgeting topic of the week,
it is important for you to look at this analysis as a significant
contribution to the management of the company. Knowing what the
bottom line profit or loss is important. But what is more important
is to understand how your actual results...

Please list all the two sample hypotheses tests that you can
do. Assume the samples are independent: (3-Points)?
Please explain what a type 1 error and type 2 error is and give
an example of both (4):
What is the difference between a paired sample and an
independent sample? Please provide an example of both. (3)

Factor A
Factor B
Level 1
Level 2
Level 3
Level 1
9
30
28
19
19
30
31
22
34
Level 2
22
23
35
22
28
32
14
22
24
Consider the accompanying data collected for a two-way
ANOVA.
a)
Using α = 0.05, is there significant interaction between
Factors A and B?
b)
Using α = 0.05, are the Factor A means different?
c)
Using α = 0.05, are the Factor B means different?
a)
Usingα=...

Why is the identification of favorable and unfavorable variances
so important to a company? How can the identification of the
variances help management control costs? Please explain.
As you are considering the flexible budgeting topic of the week,
it is important for you to look at this analysis as a significant
contribution to the management of the company. Knowing what the
bottom line profit or loss is important. But what is more important
is to understand how your actual results...

Consider a two-way ANOVA with two levels for factor A, four
levels for factor B, and four replicates in each of the 88 cells,
with SSA=25, SSB=30, SSE=120, and SST=280. Complete parts (a)
through (d).
a) Form the ANOVA summary table and fill in all values in the
body of the table.
b) At the 0.01 level of significance, is there an effect due to
factor A?
c) At the 0.01 level of significance, is there an effect due to...

The
confidence interval for the ratio of two variances are found using
and F test.
Let's say,
a) the confidence interval is (0.567, 1.635). So the interval
contains the value 1. How do i interpret this? Does it mean that
both the variances are equal?
b) the confidence interval is (0.678, 0.788). So the interval
does not contain the value 1. Does it mean that the variances are
not equal?
Im not so clear on the interpretation. Please help, thank...

A two-way analysis of variance experiment with no interaction is
conducted. Factor A has three levels (columns) and Factor
B has six levels (rows). The results include the following
sum of squares terms:
SST = 390.8 SSA = 238.5 SSE =
69.9
a. Construct an ANOVA table. (Round
intermediate calculations to at least 4 decimal places. Round
"SS" to 2 decimal places, "MS" to 4 decimal
places, "F" to 3 decimal places.)
b. At the 10% significance level, can you...

Should Americans be able to sell their votes in, say, a
presidential election? Show how this might be efficient. What are
some arguments against the policy, and how might a law and
economics approach respond to these counter-arguments? Does calling
the right to vote a "property right" change the analysis at
all?
Please explain in detail. I will post questions separetely if I
have to please let me know.

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