C.To draw conclusions about a population from a sample
D.To arrange population values in ascending order
Correct Answer: To draw conclusions about a population from a sample
Explanation:
Sampling theory explains how sample information can be used to make conclusions about a population.
Incorrect! Try again.
2Which term describes a numerical value calculated from a sample?
Sampling Theory
Easy
A.Population
B.Variable
C.Statistic
D.Parameter
Correct Answer: Statistic
Explanation:
A statistic is a numerical measure calculated from sample data.
Incorrect! Try again.
3In a simple random sample, how are the population members selected?
Random Samples and Random Numbers
Easy
A.Only the largest members can be selected
B.The researcher selects the easiest members
C.Members are selected in alphabetical order
D.Each member has an equal chance of selection
Correct Answer: Each member has an equal chance of selection
Explanation:
A simple random sample gives every population member an equal chance of being selected.
Incorrect! Try again.
4What is a common use of random numbers in sampling?
Random Samples and Random Numbers
Easy
A.Sorting observations from smallest to largest
B.Increasing the numerical values in the population
C.Replacing missing values with the sample mean
D.Selecting population members without personal preference
Correct Answer: Selecting population members without personal preference
Explanation:
Random numbers help select sample members objectively and reduce selection bias.
Incorrect! Try again.
5What happens after an item is selected in sampling with replacement?
Sampling with and without replacement
Easy
A.It is replaced by the population mean
B.It is returned before the next selection
C.It is counted twice in the first selection
D.It is permanently removed from the population
Correct Answer: It is returned before the next selection
Explanation:
In sampling with replacement, each selected item is returned before another item is chosen.
Incorrect! Try again.
6Which statement is true about sampling without replacement?
Sampling with and without replacement
Easy
A.The population size remains unchanged
B.Every selected item must be returned
C.A selected item cannot be selected again
D.All selections are always independent
Correct Answer: A selected item cannot be selected again
Explanation:
Without replacement, an item is removed after selection and cannot appear again in the same sample.
Incorrect! Try again.
7What is a sampling distribution?
Sampling distributions
Easy
A.The list of members excluded from sampling
B.The arrangement of one sample in a table
C.The distribution of a statistic from repeated samples
D.The distribution of values in one population
Correct Answer: The distribution of a statistic from repeated samples
Explanation:
A sampling distribution shows the possible values of a statistic across repeated samples of the same size.
Incorrect! Try again.
8Which quantity can have a sampling distribution?
Sampling distributions
Easy
A.Data source
B.Population label
C.Measurement unit
D.Sample mean
Correct Answer: Sample mean
Explanation:
A sample mean is a statistic, so its values across repeated samples form a sampling distribution.
Incorrect! Try again.
9What is the mean of the sampling distribution of ?
Sampling distribution of means
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The expected value of the sample mean equals the population mean: .
Incorrect! Try again.
10If the population standard deviation is and the sample size is , what is the standard error of ?
Sampling distribution of means
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The standard error of the sample mean is .
Incorrect! Try again.
11What generally happens to the sampling distribution of the mean as the sample size increases?
Sampling distribution of means
Easy
A.It becomes less spread out
B.It becomes more spread out
C.Its mean becomes undefined
D.Its center becomes zero
Correct Answer: It becomes less spread out
Explanation:
A larger sample size reduces the standard error, so sample means cluster more closely around .
Incorrect! Try again.
12According to the central limit theorem, the sampling distribution of the mean tends to become what shape as increases?
Sampling distribution of means
Easy
A.Approximately normal
B.Entirely irregular
C.Strongly rectangular
D.Perfectly uniform
Correct Answer: Approximately normal
Explanation:
For sufficiently large samples, the sampling distribution of is approximately normal under common conditions.
Incorrect! Try again.
13If the population proportion is , what is the expected value of the sample proportion ?
Sampling distribution of properties
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The sample proportion is an unbiased estimator, so .
Incorrect! Try again.
14What is the standard error of the sample proportion for independent observations?
Sampling distribution of properties
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The standard error of a sample proportion is .
Incorrect! Try again.
15For independent sample means and , what is the expected value of ?
Sampling distribution of differences and sums
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The expected difference between two sample means is the difference between their population means.
Incorrect! Try again.
16For sample means and , what is the expected value of ?
Sampling distribution of differences and sums
Easy
A.
B.
C.
D.
Correct Answer:
Explanation:
The expected value of a sum equals the sum of the expected values.
Incorrect! Try again.
17What does a standard error measure?
Standard errors
Easy
A.The largest error in a population
B.The total number of values in a sample
C.The difference between two data units
D.The variability of a statistic across samples
Correct Answer: The variability of a statistic across samples
Explanation:
A standard error measures how much a sample statistic typically varies from sample to sample.
Incorrect! Try again.
18A smaller standard error usually indicates what about an estimate?
Standard errors
Easy
A.It is always negative
B.It is always larger
C.It is more precise
D.It is more biased
Correct Answer: It is more precise
Explanation:
A smaller standard error means the statistic varies less across samples and is therefore more precise.
Incorrect! Try again.
19In a software simulation of sampling, why are many random samples generated?
Software demonstration of elementary sampling theory
Easy
A.To make every sample identical
B.To remove the population parameters
C.To approximate a sampling distribution
D.To avoid calculating any statistics
Correct Answer: To approximate a sampling distribution
Explanation:
Statistics calculated from many simulated samples can be used to approximate their sampling distribution.
Incorrect! Try again.
20Which software output best displays the simulated sampling distribution of sample means?
Software demonstration of elementary sampling theory
Easy
A.A list of population names
B.A table of measurement units
C.A paragraph describing the software
D.A histogram of the sample means
Correct Answer: A histogram of the sample means
Explanation:
A histogram shows the shape, center, and spread of sample means obtained through repeated simulation.
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21A college wants to estimate the average commuting time of its students. Which method is most likely to produce a representative sample?
Sampling Theory
Medium
A.Survey the first 100 students entering the library
B.Survey 100 students who live in residence halls
C.Randomly select 100 students from the enrollment list
D.Randomly select 100 students from one academic department
Correct Answer: Randomly select 100 students from the enrollment list
Explanation:
Selecting students randomly from the complete enrollment list gives every student a known chance of inclusion and reduces selection bias.
Incorrect! Try again.
22A population contains individuals numbered 001 through 500. Three-digit random numbers are used to select a sample without replacement. How should the researcher handle the generated numbers?
Random Samples and Random Numbers
Medium
A.Accept 000–500 and retain repeated valid numbers
B.Accept 001–500 and ignore only repeated valid numbers
C.Accept 001–500 and ignore 000, larger values, and repeats
D.Accept every number and divide values above 500 by two
Correct Answer: Accept 001–500 and ignore 000, larger values, and repeats
Explanation:
Only labels 001 through 500 identify population members. Repeats must also be ignored because sampling is without replacement.
Incorrect! Try again.
23A box contains 4 red and 6 blue balls. Two balls are drawn with replacement. What is the probability that both are red?
Sampling with and without replacement
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
With replacement, the draws are independent, so the probability is .
Incorrect! Try again.
24A population has and standard deviation . For a simple random sample of drawn without replacement, what is the approximate standard error of the sample mean?
Sampling with and without replacement
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Using the finite population correction, .
Incorrect! Try again.
25Which statement best describes the sampling distribution of the sample mean for samples of size ?
Sampling distributions
Medium
A.It is the distribution of population values below the mean
B.It is the distribution of sample sizes across repeated studies
C.It is the distribution of sample means from all possible samples
D.It is the distribution of all observations in one sample
Correct Answer: It is the distribution of sample means from all possible samples
Explanation:
A sampling distribution describes the values a statistic, such as , takes over all possible samples of a fixed size.
Incorrect! Try again.
26A population has mean and standard deviation . For random samples of size , what are the mean and standard deviation of the sampling distribution of ?
Sampling distribution of means
Medium
A.Mean and standard deviation
B.Mean and standard deviation
C.Mean and standard deviation
D.Mean and standard deviation
Correct Answer: Mean and standard deviation
Explanation:
The sampling distribution has mean and standard deviation .
Incorrect! Try again.
27A strongly right-skewed population has a finite mean and variance. Which change most directly makes the sampling distribution of closer to normal?
Sampling distribution of means
Medium
A.Increasing the population standard deviation
B.Decreasing the number of population members
C.Changing from a mean to a raw score
D.Increasing the random sample size
Correct Answer: Increasing the random sample size
Explanation:
By the central limit theorem, the distribution of becomes approximately normal as the random sample size increases.
Incorrect! Try again.
28In a population, the proportion possessing a certain property is . For random samples of size , what are the approximate mean and standard deviation of the sample proportion ?
Sampling distribution of properties
Medium
A.Mean and standard deviation
B.Mean and standard deviation
C.Mean and standard deviation
D.Mean and standard deviation
Correct Answer: Mean and standard deviation
Explanation:
The mean is , and the standard deviation is .
Incorrect! Try again.
29Two independent populations have standard deviations and . Samples of sizes and are taken. What is the standard error of ?
Sampling distribution of differences and sums
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
For independent samples, .
Incorrect! Try again.
30Independent sample means have standard deviations and . What is the standard deviation of their sum?
Sampling distribution of differences and sums
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Each sample mean has variance . Independence gives , so the standard deviation is .
Incorrect! Try again.
31Two independent samples have , , , and . What is the approximate standard deviation of ?
Sampling distribution of differences and sums
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The standard deviation is .
Incorrect! Try again.
32A sample of observations has sample standard deviation . What is the estimated standard error of the sample mean?
Standard errors
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
The estimated standard error is .
Incorrect! Try again.
33The standard error of a sample mean is when the sample size is . Assuming the population standard deviation remains fixed, what sample size is needed to reduce the standard error to ?
Standard errors
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Standard error is inversely proportional to . Halving the standard error requires multiplying the sample size by .
Incorrect! Try again.
34A population is 60% urban and 40% rural. In a proportional stratified sample of people, how many individuals should be selected from each group?
Sampling Theory
Medium
A.120 urban and 80 rural
B.80 urban and 120 rural
C.100 urban and 100 rural
D.140 urban and 60 rural
Correct Answer: 120 urban and 80 rural
Explanation:
Proportional allocation gives urban individuals and rural individuals.
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35A researcher uses a computer-generated random integer from 1 to 50 to select the first person, then chooses every 50th person from an ordered list. What sampling method is being used?
Random Samples and Random Numbers
Medium
A.Systematic sampling
B.Cluster sampling
C.Stratified sampling
D.Convenience sampling
Correct Answer: Systematic sampling
Explanation:
Systematic sampling uses a random starting point followed by selection at a fixed interval.
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36A population has 20 members, of whom 6 possess a particular property. If 5 members are sampled without replacement, which expression gives the probability that exactly 2 sampled members possess the property?
Sampling with and without replacement
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Without replacement, the hypergeometric probability selects 2 of the 6 members with the property and 3 of the remaining 14.
Incorrect! Try again.
37A population has a property proportion of . Ten independent selections are made with replacement. Which expression gives the probability of exactly two selections having the property?
Sampling with and without replacement
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Sampling with replacement produces independent trials, so the binomial formula gives .
Incorrect! Try again.
38A normally distributed population has mean and standard deviation . What is for a random sample of size ?
Sampling distribution of means
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Here, and . Thus, .
Incorrect! Try again.
39Software repeatedly draws 5000 random samples of size from a population with mean . The average of the 5000 simulated sample means should be closest to which value?
Software demonstration of elementary sampling theory
Medium
A.
B.
C.
D.
Correct Answer:
Explanation:
Because , the average of many simulated sample means should be close to the population mean of .
Incorrect! Try again.
40A student runs the same sampling simulation twice but obtains different results. Which software action would best make the random samples reproducible?
Software demonstration of elementary sampling theory
Medium
A.Set the same random-number seed
B.Increase the number of histogram bins
C.Round every simulated value
D.Sort the population before sampling
Correct Answer: Set the same random-number seed
Explanation:
Using the same seed initializes the pseudorandom number generator identically, allowing the simulation to reproduce the same sequence.
Incorrect! Try again.
41A finite population has size and variance , where uses denominator . For a simple random sample without replacement of size , what is ?
Sampling Theory
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
For SRS without replacement, . Thus .
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42An unsigned 32-bit generator produces each integer with equal probability. Which procedure generates an exactly uniform integer from through ?
Random Samples and Random Numbers
Hard
A.Return for every generated value
B.Accept only and return
C.Return without rejecting any generated value
D.Return the nearest integer to
Correct Answer: Accept only and return
Explanation:
is the largest multiple of below . Rejection makes every remainder occur the same number of times and eliminates modulo bias.
Incorrect! Try again.
43Four ordered draws are made with replacement from a population of eight distinct units. What is the probability that exactly three distinct units appear?
Sampling with and without replacement
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Choose the three units and count onto sequences: . Dividing by gives .
Incorrect! Try again.
44Let be a random sample from , and let use denominator . Which statement is correct?
Sampling distributions
Hard
A. and is independent of
B. and is correlated with
C. and is independent of
D. and is correlated with
Correct Answer: and is independent of
Explanation:
For a normal sample, . Normality also gives independence of the sample mean and sample variance.
Incorrect! Try again.
45Let be independent exponential variables with mean . Which expression equals ?
Sampling distribution of means
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The sum has a gamma distribution with shape and scale . Since means , the standardized gamma threshold is , giving the stated survival probability.
Incorrect! Try again.
46A population contains units, of which have a specified property. An SRS without replacement of size is taken. What is the standard error of the sample proportion?
Sampling distribution of properties
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
With , . This gives variance about and standard error about .
Incorrect! Try again.
47Independent SRSs without replacement are taken from two populations. Given and , what is ?
Sampling distribution of differences and sums
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Independence makes the variances additive. Including both finite population corrections gives .
Incorrect! Try again.
48For independent paired observations , suppose , , and . What is ?
Sampling distribution of differences and sums
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
. The negative covariance reduces the variance of the sum.
Incorrect! Try again.
49For paired observations, suppose , , , , and . Using the delta method, what is the approximate standard error of ?
Standard errors
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The delta-method variance is . Its square root is approximately .
Incorrect! Try again.
50A simulation uses independent replications to estimate a tail probability and obtains . Ignoring uncertainty in the random-number generator, what is the Monte Carlo standard error of ?
Software demonstration of elementary sampling theory
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
A simulated event indicator is Bernoulli, so the Monte Carlo standard error is .
Incorrect! Try again.
51A one-stage cluster sample observes individuals in equal clusters of size . If the intracluster correlation is , what is the approximate effective sample size relative to an SRS?
Sampling Theory
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The design effect is . Therefore, the effective sample size is .
Incorrect! Try again.
52For a random sample of size from a continuous distribution with CDF , let be the third order statistic. What is the distribution of ?
Random Samples and Random Numbers
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The probability integral transforms are independent uniform variables. Their th order statistic has distribution , which here is .
Incorrect! Try again.
53In an SRS without replacement of size from , let and be inclusion indicators for two distinct population units. What is ?
Sampling with and without replacement
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Here and . Their difference is .
Incorrect! Try again.
54In a multinomial sample of size , category probabilities are and . What is ?
Sampling distribution of properties
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Distinct multinomial proportions have covariance . Thus .
Incorrect! Try again.
55A population has variance and third central moment . For an IID sample of size , what is the skewness of the sampling distribution of ?
Sampling distribution of means
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
Population skewness is . The skewness of is population skewness divided by , giving .
Incorrect! Try again.
56Let be IID with variance . Define and . What is ?
Sampling distribution of differences and sums
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The means share five observations, so . Hence the difference has variance .
Incorrect! Try again.
57Two independent samples have and . Which pair gives the Welch standard error of and the associated approximate degrees of freedom?
Standard errors
Hard
A.,
B.,
C.,
D.,
Correct Answer: ,
Explanation:
. The Welch–Satterthwaite formula gives .
Incorrect! Try again.
58Consider the Python simulation means = np.array([rng.choice(pop, n, replace=False).mean() for _ in range(B)]). Assuming pop is the complete finite population, what does means.std(ddof=1) estimate as becomes large?
Software demonstration of elementary sampling theory
Hard
A.The average within-sample standard deviation under SRS without replacement
B.The Monte Carlo standard error of the average of all simulated means
C.The standard deviation of the finite population after bias correction
D.The standard error of the sample mean under SRS without replacement
Correct Answer: The standard error of the sample mean under SRS without replacement
Explanation:
The array contains repeated realizations of the sample mean. Its empirical standard deviation therefore estimates the standard deviation of the sampling distribution, namely the standard error of .
Incorrect! Try again.
59In an unequal-probability design, sampled units have observed pairs and , where is the first-order inclusion probability. What is the Horvitz–Thompson estimate of the population total?
Sampling Theory
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The Horvitz–Thompson total is . Therefore, .
Incorrect! Try again.
60For independent Bernoulli trials with , which is the most appropriate approximation to ?
Sampling distribution of properties
Hard
A.
B.
C.
D.
Correct Answer:
Explanation:
The success count is approximately Poisson with , since is small. Thus ; a normal approximation is unreliable because is only .
Incorrect! Try again.
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