Question

what is difference btw latin sqaure and 3 factor full factorial
design

Answer #1

A Latin square design is the arrangement of t treatments, each one repeated t times, in such a way that each treatment appears exactly one time in each row and each column in the design.Number of treatments is limited to the number of replicates.

Factorial design involves having more than one independent variable, or factor, in a study. Factorial designs allow researchers to look at how multiple factors affect a dependent variable, both independently and together. A study with three factors that each have three levels, for example, is called a 3x3 factorial design.

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Design a full-factorial experiment.* Use one response and at
least 2 factors, each factor with at least 2 levels.
a. Describe the response and
factor variables (e.g., what type of data are they, what are their
levels or value ranges).
b. What is the unit of
observation?
c. Describe the population,
the sampling technique (how will you ensure random selection of
units), and the sample and cell (treatment combinations) sizes.
d. Will you have replications or
repetitions?
e. Are there...

What is the difference between factorial design and OFAT Give
your explanation with example.

State the differences between the single factor research design
and factorial research designs and give an example of when each
would be most appropriate.

With reference to a 3 x 3 x 3 factorial
design:
a) How many independent variables are in this factorial
design? (1 mark)
b) How many main effects are possible in this
experimental design? (1 mark)
c) What is the total number of conditions in this
experiment? (1 mark)

If you find two significant main effects in a 2 x 3 factorial
design, should you compute Tukey's post hoc comparisons for
both?
A 2 x 3 x 5 factorial design has how many possible main
effects?
How many conditions are in a 3 x 3 factorial design?
What statistical test would I run to analyze the results of a 2
x 2 x 4 x 4 factorial design?

Explain this question about reduced model in factorial
design:
a. what is reduced model?
b. what is the different between full model and reduced
model?
c. Is there any pro (benefit) and cons for using either full or
reduced model?
d. what is the purpose of reducing the full model?

A researcher introduces a second factor due to individual
differences to create a factorial design from an
independent-measures design. Why can this help the researcher draw
conclusions about the data set?
a. It can reduce the variability
within the treatment groups.
b. It can increase the variability
within the treatment groups.
c. It creates larger sample
sizes.
d. It creates smaller sample
sizes.

What are the difference and the similarities of ANOVA
completed randomized design(CRD), completed randomized block design
(CRBD), and factorial design(FD)?

1. A factorial design is one in which
………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………
2. The number of times each experimental condition is observed in a
factorial design is known as
……………………………………………………………………………………………
3. The best way to control for extraneous variables in research
studies is
……………………………………………………………………………………………………………………………………………………………………………………………………
4. Control in experimental research is BEST described as an attempt
to
……………………………………………………………………………………………………………………………………………………………………………………………………
5. If we have 2 factors and two levels per factors, what kind of
experiment is this?
……………………………………………………………………………………………………………………………………………………………………………………………………
6. What information is given in the factorial...

Below is a source table for a factorial design. Explain what the
results tell us in terms of main effects and
interactions:
Source
SS
df
MS
F
p
eta squared
Factor A
240
1
240
29.9
<.001
.30
Factor B
4
1514
378
47.2
<.001
.40
A x B
Interaction
4
190
47
3.0
=.08
.03
Error
90
722
8
Total
99
2667

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