1 point) For each problem, select the best response.
(a) A simple random sample of size n is defined to
be
A. a sample of size n chosen in such a
way that every unit in the population has a known nonzero chance of
being selected.
B. a sample of size n chosen in such a
way that every unit in the population has the same chance of being
selected.
C. a sample of size n chosen in such a
way that every set of n units in the population has an
equal chance to be the sample actually selected.
D. All of the above. They are essentially
identical definitions.
(b) A small college has 500 male and 600 female undergraduates.
A simple random sample of 50 of the male undergraduates is
selected, and, separately, a simple random sample of 60 of the
female undergraduates is selected. The two samples are combined to
give an overall sample of 110 students. The overall sample is
A. a simple random sample.
B. a stratified random sample.
C. a systematic sample.
D. convenience sampling.
E. a multistage sample.
(c) In order to take a sample of 1200 people from a population,
I first divide the population into men and women, and then take a
simple random sample of 500 men and a separate simple random sample
of 700 women. This is an example of a
A. randomized comparative experiment.
B. stratified random sample.
C. a simple random sample.
D. a multistage sample.
E. convenience sampling.
a)
C. a sample of size n chosen in such a way that every
set of n units in the population has an equal chance to be the
sample actually selected.
b)
B. stratified random sample.
Stratified sampling refers to a type of sampling method. With
stratified sampling, the researcher divides the population into
separate groups, called strata. Then, a probability sample (often a
simple random sample ) is drawn from each group.
c)
B. stratified random sample.
Stratified sampling refers to a type of sampling method. With
stratified sampling, the researcher divides the population into
separate groups, called strata. Then, a probability sample (often a
simple random sample ) is drawn from each group.
1 point) For each problem, select the best response. (a) A simple random sample of size...
(1 point) For each problem, select the best response. (a) A simple random sample of size n is defined to be A. a sample of size n chosen in such a way that every unit in the population has the same chance of being selected. B. a sample of size n chosen in such a way that every set of n units in the population has an equal chance to be the sample actually selected. C. a sample of size...
Would you agree to the statement on random sampling methods. Please explain why. In probability samples “each population element has a known (non-zero) chance of being chosen for the sample.” (StatTrek 2020). Some examples of probability samples are, simple random sampling, stratified sampling, cluster sampling, multistage sampling, and systematic random sampling. Simple random sampling is the population and sample consists of “N” objects, and an example is when people play the lottery. Stratified sampling is based on some type of...
An accounting firm has 72 members in 6 departments. Each department has 1 senior partner (SP), 2 junior partners (JP) and 9 associates (AS). A sample of 12 of the firm's members will be chosen to attend a professional conference. Choose the best description of each of these sampling methods. Choose the first 12 names on the alphabetical listing of all 72 of the firm's members. → Simple Random Sampling Stratified Random Sampling Cluster Random Sampling Multistage Sampling Systematic Sampling...
Which choice best describes a simple random sample? O a selection of members of a population chosen because of their convenient accessibility and proximity O when a population is first sorted into groups that share a similar characteristic and individuals are randomly chosen from each of the groups O a selection of members from a population in such a way that every possible sample of the same size has an equal chance of being chosen O when a population is...
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In simple random sample every member of the population has a known and equal chance of being selected, but you cannot calculate sampling error. * true or false
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