Deck 22: Sample Survey

Question 1

Conclusions drawn from a sample survey apply

A) only to the sample.
B) to any population.
C) only to the sampled population.
D) to the target population.

Answer 1

only to the sampled population.

Question 2

Cluster sampling is

A) a nonprobability sampling method.
B) convenience based sampling.
C) a probability sampling method.
D) judgement based sampling.

Answer 2

a probability sampling method.

Question 3

A sampling unit

A) must have one element.
B) may include several elements.
C) can not include more than one element.
D) is the number of units sampled.

Answer 3

may include several elements.

Question 4

The target population and the sampled population

A) are always the same.
B) are not always the same.
C) must be the same for the results to be accurate.
D) None of these alternatives is correct.

Question 5

A number added to and subtracted from a point estimate to create an approximate 95% confidence interval is known as

A) cluster of points.
B) bound on sampling error.
C) area point estimation.
D) systematic sampling error.

Question 6

A sample selected in such a manner that each sample of size n has the same probability of being selected is

A) a convenience sample.
B) a judgment sample.
C) nonprobabilistic sampling.
D) a simple random sample.

Question 7

The units that are selected for sampling constitute the

A) sample.
B) population.
C) frame.
D) sampling units.

Question 8

A list of the sampling units for a study is

A) the sampled population.
B) called the frame.
C) called the sample.
D) the sample space.

Question 9

The population from which the sample is actually selected is

A) always the target population.
B) the census.
C) the selected sample.
D) the sampled population.

Question 10

A target population is

A) the population from which the sample is actually selected.
B) the population for which inferences are to be made.
C) always the same as the sampled population.
D) the same as the sample.

Question 11

A survey of a subset of a population is called a

A) sample survey.
B) target survey.
C) sampled population.
D) survey of element.

Question 12

A survey of an entire population is called

A) population analysis.
B) population survey.
C) census.
D) target population survey.

Question 13

Any method of sampling for which the probability of selecting a sample can not be computed is termed as

A) probability sampling.
B) nonprobabilistic sampling.
C) unknown population sampling.
D) None of these alternatives is correct.

Question 14

Stratified random sampling is a method of selecting a sample in which

A) the sample is first divided into strata, and then random samples are taken from each stratum.
B) various strata are selected from the sample.
C) the population is first divided into strata, and then random samples are drawn from each stratum.
D) the population is first divided into various stratums and then random samples are drawn from each strata.

Question 15

Convenience sampling is an example of _____ sampling.

A) probabilistic
B) judgment
C) nonprobabilistic
D) cluster

Question 16

The entity on which data are collected is

A) the sample.
B) the element.
C) the population.
D) cluster.

Question 17

The error that occurs because a sample, and not the entire population, is used to estimate a population parameter is a _____ error.

A) nonsampling
B) sampling
C) judgment
D) standard

Question 18

Probabilistic sampling is any method of sampling in which

A) the probability of the occurrence of various events in the study are known.
B) there are only two possible outcomes, such as P(A) and P(A^c).
C) the probability of each possible sample can be computed.
D) the probability of each possible sample is one.

Question 19

Which of the following sampling methods is a probabilistic sampling method?

A) Judgment sampling
B) Convenience sampling
C) Cluster sampling
D) Random sampling

Question 20

Which of the following is an example of nonprobabilistic sampling?

A) Simple random sampling
B) Stratified simple random sampling
C) Cluster sampling
D) Judgment sampling

Question 21

A simple random sample of size 64 is taken from a population of size 800. The sample mean is determined to be 2,250 with a standard deviation of 500. The point estimate of the population total is

A) 51,200
B) 1,275,000
C) 144,000
D) 1,800,000

Question 22

Sampling errors can

A) be avoided by increasing the sample size to at least 30.
B) be avoided if the sample is increased so that it will be at least 5% of the population.
C) be avoided by using probabilistic sampling.
D) not be avoided.

Question 23

Which of the following is(are) the most common type(s) of surveys?

A) Mail surveys
B) Telephone surveys
C) Personal interviews
D) All of these answers are correct.

Question 24

An unbiased estimate of the population total is given by the

A) sample mean multiplied by the size of the sample.
B) sample mean multiplied by the size of the population.
C) sample size multiplied by the standard error.
D) standard deviation divided by the square root of the sample size.

Question 25

A simple random sample of 45 elements has been selected from a population of size 800. The sample mean is 600, and the sample standard deviation is 60. An approximate 95% confidence interval for the population total is

A) 583 to 617
B) 466,400 to 493,600
C) 400,000 to 500,000
D) 350,000 to 450,000

Question 26

Simple random sampling has been used to obtain a sample of size 60 from a population of size 500. The sample proportion was 0.7. The estimate of the standard error of proportion is

A) 0.210
B) 0.068
C) 0.300
D) 0.056

Question 27

A simple random sample of 45 elements has been selected from a population of size 800. The sample mean is 500, and the sample standard deviation is 60. The standard error of the mean is

A) 8.9
B) 62.7
C) 1.6
D) 8.7

Question 28

From a population of size 600, a simple random sample of size 60 is selected. The sample mean is 400, and the sample standard deviation is 50. An estimate of the standard error of the mean is

A) 4.1
B) 5.1
C) 6.1
D) 7.1

Question 29

From a population of size 600, a simple random sample of size 60 is selected. The sample mean is 400, and the sample standard deviation is 50. The population total is

A) 3,944
B) 16,000
C) 240,000
D) 24,000

Question 30

With nonprobabilistic sampling

A) it is possible to make estimates about the precision of the population parameters.
B) it is not possible to make statements about the precision of estimates made concerning the population parameters.
C) estimates can be made with precision if the sample is larger than 30.
D) none of these alternatives is correct.

Question 31

The advantage of nonprobabilistic sampling is that it is inexpensive and

A) provides statistically valid statements about the precision of the estimate.
B) can provide valid parameter estimates.
C) is error free.
D) ease of implementation.

Question 32

A version of cluster sampling in which the elements are formed into clusters on the basis of their geographic proximity is _____ sampling.

A) stratified simple random
B) random
C) judgment
D) area

Question 33

Errors such as measurement error, processing error, and interviewer error are

A) sampling errors.
B) nonsampling errors.
C) could be either sampling or nonsampling errors.
D) impossible to detect.

Question 34

A method of selecting a sample by randomly selecting the first element and then selecting every K^th element thereafter is _____ sampling.

A) area
B) stratified
C) systematic
D) stratified simple random

Question 35

A simple random sample of 45 elements has been selected from a population of size 800. The sample mean is 500, and the sample standard deviation is 60. An approximate 95% confidence interval for the population mean is

A) 482.6 to 517.4
B) 440.0 to 560.0
C) 500.0 to 560.0
D) 440.0 to 500.0

Question 36

A simple random sample of size 81 is taken from a population of size 800. The sample mean is determined to be 2,550 with a standard deviation of 500. An estimate of the standard error of the mean (for the total) is

A) 62,500.50
B) 42124.41
C) 52.67
D) 50,000.00

Question 37

From a population of size 600, a simple random sample of size 60 is selected. The sample mean is 400, and the sample standard deviation is 50. An approximate 95% confidence interval for the population mean is

A) 395 to 405
B) 380 to 420
C) 360 to 440
D) 388 to 412

Question 38

In a sample survey, it is common practice to use a t value of (when approximating a 95% confidence interval)

A) 1.
B) 2.
C) 3.
D) 4.

Question 39

A simple random sample of 43 elements has been selected from a population of size 800. The sample mean is 600, and the sample standard deviation is 60. The population total is

A) 36,000
B) 25,800
C) 480,000
D) 500,000

Question 40

From a population of size 600, a simple random sample of size 60 is selected. The sample mean is 400, and the sample standard deviation is 50. An approximate 95% confidence interval for the population total is

A) 350,000 to 450,000
B) 232,800 to 247,200
C) 350 to 400
D) 388 to 412

Question 41

When a person knowledgeable on the subject of the study selects units that he or she feels are most representative of the population, the approach is called _____ sampling.

A) stratified
B) convenience
C) judgment
D) systematic

Question 42

With systematic sampling,​

A) ​the first element selected is a random choice.
B) ​every nth element is a random choice.
C) ​all elements in the sample are random choices.
D) ​there are no random choices.

Question 43

For stratified simple random sampling, the factors considered most important in deciding what fraction of the total sample should be assigned to each stratum include all of the following except the _____ each stratum.

A) number of outliers in
B) number of elements in
C) variance of the elements within
D) cost of selecting elements within

Question 44

With convenience sampling, the units included in the sample are chosen because of​

A) ​objectivity.
B) ​accessibility.
C) ​impartiality.
D) ​variability.

Question 45

When performing cluster sampling, the primary issue in choosing a sample size is​

A) ​selecting the strata.
B) ​minimizing cost.
C) ​including all clusters.
D) ​selecting the number of clusters.

Question 46

Simple random sampling has been used to obtain a sample of size 60 from a population of size 500. The sample proportion was 0.7. An approximate 95% confidence interval for the population proportion is

A) 0.500 to 0.700
B) 0.750 to 0.810
C) 0.588 to 0.812
D) 0.638 to 0.762

Question 47

Cluster sampling tends to provide better results when the elements within the clusters are​

A) ​homogeneous.
B) ​heterogeneous.
C) ​mutually inclusive.
D) ​correlated.

Question 48

Nonsampling error includes all of the following except _____ error.

A) measurement
B) chance
C) selection
D) processing