BUS 310 Practice Quiz #1

Which of the following is true of judgement sampling?

a. selects samples based on expert opinion

b. selects samples based on ease of data collection

c. selects samples based on random procedures

d. selects samples based on full representation of all subsets

a. select samples based on expert opinion

Which of the following types of sampling involves using random procedures to select a sample?

a. judgement sampling

b. probabilistic sampling

c. subjective sampling

d. convenience sampling

b. probabilistic sampling

____ involves selecting items from a population so that every subset of a given size has an equal chance of being selected

a. convenience sampling

b. subjective sampling

c. judgement sampling

d. simple random sampling

d. simple random sampling

Which of the following describes periodic sampling?

a. It is a sampling method based solely on expert opinion.

b. It is a sampling method based on selecting a time and then sampling the products after that time.

c. It is a sampling method based on selecting every nth item from a population

d. It is a sampling method exclusively used for population that is divided into subsets.

c. It is a sampling method based on selecting every nth item from a population

____ sampling applies to populations that are divided into natural subsets and allocates the appropriate proportion of samples to each subset.

A) Systematic

B) Stratified

C) Cluster

D) Continuous process

B) Stratified

_____ is based on dividing a population into subgroups, sampling a set of subgroups, and conducting a complete census within the subgroups sampled.

A) Cluster sampling

B) Continuous process sampling

C) Judgment sampling

D) Systematic sampling

A) Cluster sampling

In sampling, _____ involves assessing the value of an unknown population parameter such as a population mean, population proportion, or population variance-using sample data.

A) distribution

B) randomization

C) estimation

D) substitution

C) estimation

A(n) ______ is a single number derived from sample data that is used to estimate the value of a population parameter.

A) confidence interval

B) frequentist interference

C) interval estimate

D) point estimate

D) point estimate

Which of the following accurately describes a sampling distribution of the mean?

A) It is the mean of any one sample from a group of related populations of different sizes.

B) It is the mean distribution of any one sample from a group of samples of varying sizes from a population.

C) It is the mean of half the samples from a related group of populations.

D) It is the distribution of the means of all possible samples of fixed size n from a population.

D) It is the distribution of the means of all possible samples of fixed size n from a population.

Which of the following is the inherent reason why sampling errors occur?

A) because samples represent the whole population

B) because samples are only a subset of the population

C) because samples never provide enough data to estimate standard deviation

D) because the means cannot be accurately estimated using samples

B) because samples are only a subset of the population

The means of all possible samples of a fixed size n from some population will form a distribution which is known as the

A) corollary of the mean

B) sampling distribution of the mean

C) standard error of the mean

D) point estimate

B) sampling distribution of the mean

______ states that if the sample size is large enough, the sampling distribution of the mean is approximately normally distributed, regardless of the distribution of the population and that the mean of the sampling distribution will be the same as that of the population.

A) Chebyshev's theorem

B) Central limit theorem

C) Prime number theorem

D) Oppermann's conjecture

B) Central limit theorem

Which symbol denotes the number of elements in the entire population?

a. Uppercase N

b. sigma

c. mu

d. Lowercase n

a. Uppercase N

A pollster divides registered voters into age groups and randomly samples within each group. This is an example of:

a. Convenience sampling

b. Cluster sampling

c. Stratified sampling

d. Systematic sampling

c. Stratified sampling

A numerical measure computed from sample data is called a:

a. Statistic

b. Parameter

c. Population constant

d. Variable

a. Statistic

A population is heavily right-skewed. According to the Central Limit Theorem, the sampling distribution of the sample mean becomes approximately normal when:

a. The sample size is sufficiently large (n >= 30)

b. The population size is doubled

c. Sampling is done without replacement

d. The population standard deviation is known

a. The sample size is sufficiently large (n >= 30)

Sampling error arises mainly because:

a. The population mean changes over time

b. Measuring instruments are faulty

c. A sample reflects only part of the population

d. Arithmetic is rounded

c. A sample reflects only part of the population

The distribution formed by the means of all possible samples of size n drawn from a population is called the:

a. Standard error curve

b. Sampling distribution of the mean

c. Population distribution

d. Frequency polygon

b. Sampling distribution of the mean

A researcher randomly selects 4 elementary schools and surveys every student in those schools. This is an example of:

a. Judgment sampling

b. Stratified sampling

c. Cluster sampling

d. Simple random sampling

c. Cluster sampling

The average computed from sample data is denoted by:

a. mu

b. s

c. sigma

d. X-bar

d. X-bar

As the sample size n increases, the standard error of the sample mean:

a. Increases proportionally with n

b. Stays equal to the population standard deviation

c. Becomes equal to the population mean

d. Decreases

d. Decreases