a. What does a significance test tell us? When do you
use a 1 tailed t-test? When do you use a 2 tailed
t-test?
b. What is the difference between statistical
significance and effect size? What information does each of these
measures provide?
what does Hamilton's rule tell us?
a) when relatedness is low, benefit to the recipient is lower
and the cost to the actor is low, then the natural selection should
favor individuals that help their kin.
b) animals need to calculate Br and C
c) if Br > C then genes encoding altruistic acts towards kin
will tend to spread in a population
d) when relatedness is low, benefit to the recipient is high,
and the cost to the actor...
What is anthropometry? What are typical measures of anthropometry? What equipment is used? What does the equipment tell us? Why is anthropometry important to study? What is ergonomics?
3. What does the test statistic tell us?
4. Why do we divide by the standard error when computing a test
statistic?
5. Why do we reject the null hypothesis when the p-value is
small? Explain as if to someone unfamiliar with
statistics.
a)When is it appropriate to calculate a
z-test?
b)What is the formula for a z-test?
c)If we set α = 0.10 what does that tell
us?
d)If p < α then what should you
do?
e)What is the z-table used for when conducting a
z-test?
f)What are the 7 steps for hypothesis
testing?
Is the z-test the same as the t-test but only used when we know
the true value of population mean's variance? But in practice, I'm
assuming that the population mean's variance is never observed so
I'm confused why we use the z-test. When will the z-test be helpful
when the t-test is not if we never know the population mean's
variance in real life? What are the other two differences between
the two tests?