I'll give you 20 more if you answer this correctly. On the following page, match the situation on the left with the appropriate inference procedure.
You may have to use the options more than once or not at all!!

SITUATIONS:
1. Before they go to market, executives for
a pharmaceutical company want to know if the
percentage of consumers who would be
interested in an alternative to their current OTC
pain medication is more than 18%. They’ll sample
and use α =0.05 to test their market.
2. [SCHOOL] administrators can pull reports from
their student database that contain academic
records and information such as address, phone
number, etc. They want to know the average
number of credit hours students are taking this
term compared to last semester.
3. [SCHOOL] administrators know that students
sometimes leave school because they don’t have
dependable transportation. They wonder how
many miles the average student vehicle has on it.
4. Researchers know that men born in the
US in 1980 have a mean height of 179 cm with a
standard deviation of 7.7 cm. They believe the
spread of heights has remained fairly stable but
that the mean height for men born in 2000 is
different. They’ll use α =0.06 to test their
conjecture.
5. An advertising firm is helping a client to
define their target market so they can develop a
successful ad campaign. They need to estimate
the proportion of men who shop for the item.
6. The same advertising firm also needs to
know the average age of those who buy their
client’s product.
7. Now that [SCHOOL] has so many online course
offerings, administrators claim that students live
more than 20 miles from campus on average and
believe that a sample of 50 students should
provide statistically significant evidence of this.

OPTIONS:
A. Confidence Interval for One
Sample Mean, Sigma Unknown

B. Confidence Interval One Sample
Proportion

C. Confidence Interval for One
Sample Mean, Sigma Known

D. Hypothesis Test for One-Sample
Mean, Sigma Unknown

E. Hypothesis Test for One-Sample
Proportion

F. Hypothesis Test for One-Sample
Mean, Sigma Known

G. No Inference is required since we
can easily obtain information for the
entire population