MKTG 482 EXAM CURRENTLY TESTING AND
FREQUENTLY TESTING EXAM QUESTIONS WITH
EXPERT VERIFIED ANSWERS FOR GUARANTEED
PASS | LATEST UPDATE 2025
Which of the following statements is most accurate regarding the relationship between
sample size and the sample representativeness?
A) There is a high relationship between the size of a sample and the representativeness
of the population from which it is drawn.
B) There is no relation between the size of a sample and the representativeness of the
population from which it is drawn.
C) You cannot have a representative sample unless the sample size is equal to or
exceeds 10 percent of the population.
D) Sample size determines representativeness but only if the sample plan is a probability
sampling plan.
E) Sample size determines representativeness but only if the sample plan is a
nonprobability sampling plan. - ✔✔There is no relation between the size of a sample
and the representativeness of the population from which it is drawn.
The sample size determines:
A) representativeness.
B) accuracy.
C) representativeness and accuracy.
D) the population statistic value.
E) the mean generated from the sample statistic. - ✔✔accuracy.
Sample accuracy refers to:
,A) the extent to which the sample is validated.
B) the extent to which the sample statistics differ from the true population values the
statistics represent.
C) the extent to which the population statistics differ from the representativeness of the
sample.
D) a statistical concept that can be assessed only theoretically.
E) how close the sample statistics match the predetermined values expected by
management. - ✔✔the extent to which the sample statistics differ from the true
population values the statistics represent.
In a study of the U.S. workforce population, a research company interviews 5,000
persons on a street corner in New York. If they decide to increase the sample size to
10,000, they would:
A) increase the sample size and the representativeness of the sample.
B) increase both sample accuracy and representativeness of the sample.
C) increase only the representativeness.
D) decrease the sample accuracy.
E) increase the sample size, but the sample would still not be representative of the
population. - ✔✔increase the sample size, but the sample would still not be
representative of the population.
One of the reasons why a marketing practitioner should have a basic understanding of
sample size determination is because:
A) many practitioners have a false belief that sample size doesn't determine a sample's
representativeness.
B) it helps managers to manage their resources better.
C) a marketing manager should understand that a sample's representativeness is not
related to its accuracy.
D) the size of the sample is never a major cost factor.
, E) managers always have a "small sample bias"; they believe small samples are more
accurate. - ✔✔it helps managers to manage their resources better.
Which of the following is NOT one of the axioms of sample size and accuracy?
A) The only perfectly accurate sample is a census.
B) A probability sample will always have some inaccuracy (sample error).
C) Increasing sample size increases the sample's representativeness.
D) A probability sample size can be a very tiny percentage of the population size and still
be very accurate.
E) The size of a probability sample depends on the client's desired accuracy balanced
against the cost of data collection. - ✔✔Increasing sample size increases the sample's
representativeness.
Which of the following is the most correct method of determining sample size?
A) percentage of population approach
B) all that can be afforded approach
C) all that time will permit approach
D) using the "100" for local study; "1,000" for national study approach
E) the confidence interval approach - ✔✔the confidence interval approach
Sources of error that come from sources other than the sample selection method and
sample size are referred to as:
A) serious mistakes.
B) nonsampling errors.
C) errors caused by competitors.
D) errors caused by clients.
E) errors caused by statisticians. - ✔✔nonsampling errors.
FREQUENTLY TESTING EXAM QUESTIONS WITH
EXPERT VERIFIED ANSWERS FOR GUARANTEED
PASS | LATEST UPDATE 2025
Which of the following statements is most accurate regarding the relationship between
sample size and the sample representativeness?
A) There is a high relationship between the size of a sample and the representativeness
of the population from which it is drawn.
B) There is no relation between the size of a sample and the representativeness of the
population from which it is drawn.
C) You cannot have a representative sample unless the sample size is equal to or
exceeds 10 percent of the population.
D) Sample size determines representativeness but only if the sample plan is a probability
sampling plan.
E) Sample size determines representativeness but only if the sample plan is a
nonprobability sampling plan. - ✔✔There is no relation between the size of a sample
and the representativeness of the population from which it is drawn.
The sample size determines:
A) representativeness.
B) accuracy.
C) representativeness and accuracy.
D) the population statistic value.
E) the mean generated from the sample statistic. - ✔✔accuracy.
Sample accuracy refers to:
,A) the extent to which the sample is validated.
B) the extent to which the sample statistics differ from the true population values the
statistics represent.
C) the extent to which the population statistics differ from the representativeness of the
sample.
D) a statistical concept that can be assessed only theoretically.
E) how close the sample statistics match the predetermined values expected by
management. - ✔✔the extent to which the sample statistics differ from the true
population values the statistics represent.
In a study of the U.S. workforce population, a research company interviews 5,000
persons on a street corner in New York. If they decide to increase the sample size to
10,000, they would:
A) increase the sample size and the representativeness of the sample.
B) increase both sample accuracy and representativeness of the sample.
C) increase only the representativeness.
D) decrease the sample accuracy.
E) increase the sample size, but the sample would still not be representative of the
population. - ✔✔increase the sample size, but the sample would still not be
representative of the population.
One of the reasons why a marketing practitioner should have a basic understanding of
sample size determination is because:
A) many practitioners have a false belief that sample size doesn't determine a sample's
representativeness.
B) it helps managers to manage their resources better.
C) a marketing manager should understand that a sample's representativeness is not
related to its accuracy.
D) the size of the sample is never a major cost factor.
, E) managers always have a "small sample bias"; they believe small samples are more
accurate. - ✔✔it helps managers to manage their resources better.
Which of the following is NOT one of the axioms of sample size and accuracy?
A) The only perfectly accurate sample is a census.
B) A probability sample will always have some inaccuracy (sample error).
C) Increasing sample size increases the sample's representativeness.
D) A probability sample size can be a very tiny percentage of the population size and still
be very accurate.
E) The size of a probability sample depends on the client's desired accuracy balanced
against the cost of data collection. - ✔✔Increasing sample size increases the sample's
representativeness.
Which of the following is the most correct method of determining sample size?
A) percentage of population approach
B) all that can be afforded approach
C) all that time will permit approach
D) using the "100" for local study; "1,000" for national study approach
E) the confidence interval approach - ✔✔the confidence interval approach
Sources of error that come from sources other than the sample selection method and
sample size are referred to as:
A) serious mistakes.
B) nonsampling errors.
C) errors caused by competitors.
D) errors caused by clients.
E) errors caused by statisticians. - ✔✔nonsampling errors.
