36 For each of the effect-size calculations in Exercise 8.35, identify the size of the effect using Cohen’s
guidelines. Remember, for SAT math, μ = 500 and σ = 100.
a)

b)

c)

37 For each of the following d values, identify the size of the effect, using Cohen’s guidelines.

b)

c)
d = 0.22 Small
d)
d = −0.04 no effect
49 Confidence intervals and football wins: In an exercise in Chapter 7, we asked whether college
football teams tend to be more likely or less likely to be mismatched in the upper National Collegiate
Athletic Association (NCAA) divisions. During one week of a college football season,
the population of
53
Football Bowl Subdivision (FBS; formerly Division I-A) games had a
mean spread (winning score
minus losing score) of 16.189
, with a
standard deviation of 12.128
. We took a sample of
four games
that were played that week in the next-highest league, the Football Championship Subdivision (FCS;
formerly Division I-AA), to see if the spread were different; one of the many leagues within FBS, the
Patriot League, played four games that weekend.
Their mean was 8.75.
Population mean = 16.189
Standard deviation = 12.128
Population= 53

Sample population= 4
Sample Mean = 8.75
a)
Calculate the 95% confidence interval for this sample. = -3.13, 20.63

b)
State in your own words what we learn from this confidence interval.