Download General Concepts

The fundamental concept underlying statistical
inference is that
(A) through the use of sample data we are able to draw
conclusions about a sample from which the data were
drawn.
(B) through the examination of sample data we can
derive appropriate conclusions about a population from
which the data were drawn.
(C) when generalizing results to a sample we must
make sure that the correct statistical procedure has
been applied.
(D) Two of the above are true.
(E) All of the above are true.
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Statistics has been called “the science of data”. It
involves
(A) planning for the collection of data.
(B) collecting and organizing sets of data.
(C) describing sets of data for their own sake.
(D) describing sets of data to help describe the
populations such data sets are drawn from.
(E) describing sets of data to make inferences about the
populations such data sets are drawn from.
(F) All of (A)-(E) are true.
(G) All but one of (A)-(E) are true.
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Which of the following types of data has the most
demanding assumptions?
(A) nominal data
(B) ordinal data
(C) data on an interval scale
(D) data on a ratio scale
0075v01
Parameter is to statistic as:
(A) Greek is to English
(B) infinite is to finite
(C) population is to sample
(D) hypothetical is to observed
(E) Two from (A)-(D) are correct.
(F) Three from (A)-(D) are correct.
(G) All from (A)-(D) are correct.
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One key difference between descriptive statistics and
inferential statistics is
(A) having one or more variables (characteristics) of the
population and/or sample to be examined.
(B) identifying patterns based on the data.
(C) having a measure of the reliability (i.e., the
probability of being correct) for any conclusions
reached in examining the data.
(D) Two from (A)-(C) are correct.
(E) All from (A)-(C) are correct.
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In making a statistical inference, one must
(A) be interested in a population.
(B) be interested in one or more characteristics of the
population.
(C) have a sample of units from the population on which
to base the inference.
(D) estimate a parameter of the population as a part of
the inference.
(E) have an estimated probability of being correct in the
inference made.
(F) All from (A)-(E) are correct.
(G) All but one from (A)-(E) are correct..
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