Question

What is the logic behind the ANOVA analysis? When and why should we use it instead of the T-tests that seem to be much easier to do?

(Question is related to lean six sigma)

Answer #1

Why is it better to use an ANOVA (Analysis of Variance) when you
have more that 2 levels of an independent variable than to use
multiple t-tests?
When should you use a Factorial ANOVA in stead of a simple
ANOVA?

What is logistic regression? When should we use logistic
regression instead of linear regression?
Why cannot we use linear regression where logistic regression
is used? Provide the generalized multiple logistic regression
equation.

When comparing more than two treatment means, why should you use
an analysis of variance instead of using multiple
ttests?

Why do we run post hocs when calculating an ANOVA that is
significant, but not for a T-test that is significant (be sure to
discuss both parts of the question to get full points)?

anova-
when can you use tukey test?
why do you need to use tukey test?
why cant yu use pairs of 2-sample tests?
what is the differnece between w/out replication?

Week 8 Discussion
Consider the different post hoc tests discussed in the readings
and respond to the following:
Describe the general rationale behind using post hoc tests
(i.e., when they are used and why).
One of the advantages of using an ANOVA (compared to using
t-tests) is also a disadvantage—using an ANOVA makes it
necessary to use post hoc tests if there is a significant main
effect. We use a post hoc test because there is one specific
advantage in...

Why do we use the term biological sex instead of the
term gender when discussing skeletal remains?

Design an experiment situation that would use a one-way
independent ANOVA for the analysis. You don’t need to go all out,
but provide enough information about your design to make it clear
that an ANOVA is a good analysis
Do the same thing as above but for a t-test
instead

QUESTION 25
Suppose we expand the study described in Question #24. Instead
of looking only at juniors and seniors, we also take random samples
of freshmen and sophomores. Which inferential statistical test
would we use to determine whether there is a statistically
significant effect of year-in-college on exam scores?
independent-samples t test/two-sample t test
dependent-samples t test / matched-pairs t
test / related-samples t test / paired t test
chi-square
one-way ANOVA
factorial ANOVA

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...

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