These solutions show about the same level of work I expect from you, though I add quite a bit of extra commentary. Please see Show Your Work for the what, why, and how.
1(points: 3) According to a news story in USA
Today this summer, Governor Paterson planned to conduct an Internet
poll to determine New Yorkers’ attitudes toward same-sex
marriage.
(a) Which vocabulary word best describes the type of sample that
will be obtained?
(b) Assuming he has a large number of responses, is this a good
procedure or a bad procedure? Explain briefly.
Answer: (a) convenience sample
(b) It is a bad procedure because it’s self selected.
Only a random sample, or a modified random
sample such as stratified or cluster or systematic, can form a base for
correct inferences. Any sample where people select themselves is
automatically suspect.
Answer:
(a) inferential (Not every American was
asked — researchers took a sample and then estimated the
figure for the population.)
(b) worries about financial future
(c) binomial (also acceptable:
“qualitative” or
“attribute”, but it’s better to be specific)
Common mistake: Don’t be fooled by the “67”. The data point for each person is a yes or no.
Answer: In an observational study, there can always be lurking variables, so you never know whether a difference is due to the factor you’re interested in or to some other factor.
Alternative solution: “No control group” was also acceptable because the implication is that subjects are assigned to control and treatment groups in such a way as to eliminate or minimize lurking variables.
Answer: randomization (randomly assigning the subjects into groups) and matched-pair design.
Common mistake: “Random sample” and “control group” are good techniques, but were already given in the question. “Double blind” is a good way to administer dosages, but it has nothing to do with how you assign subjects to treatment and control groups.
Answer: No “Error” in this case does not mean a mistake. Sampling error is unavoidable because it results from the fact that a sample is being used to represent a population, and one sample is not the same as the next.
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