Population, Sample, and Sampling Distributions MCQs
Population, Sample, and Sampling Distributions MCQs
The following Population, Sample, and Sampling Distributions MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Population, Sample, and Sampling Distributions. We encourage you to answer these 20+ multiple-choice questions to assess your proficiency.
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1: Binomials are represented by the normal curve.
A. True
B. False
2: A sample and a sampling distribution are equivalent.
A. True
B. False
3: Populations are difficult for researchers to examine directly because of their large size.
A. True
B. False
4: Samples vary from sample to sample due to sampling error.
A. True
B. False
5: The central limit theorem ensures that skewed variables will produce normal sampling distributions.
A. True
B. False
6: The t distribution changes its shape depending on the sample size.
A. True
B. False
7: Which of the following statements is a guarantee provided by the central limit theorem?
A. Curve will be normal given infinite samples.
B. All data will approach the mean.
C. All data will be within 1 standard deviation of the mean.
D. None of these
8: Which of the following statements provides the definition of sampling error?
A. How many errors occur within a population
B. The standard distribution of a sampling distribution
C. How the population and a given sample differ
D. An error with the z score
9: Sampling distributions can be considered which of the following?
A. Means
B. Proportions
C. Means and proportions
D. None of these
10: Which of the following statements about populations is true?
A. Drawn from subsets of samples
B. The same as samples
C. Typically too large to measure
D. A combination of a variety of factors
11: Which of the following statements describes the shape of the sampling distribution?
A. The normal curve
B. Positively skewed
C. Negatively skewed
D. None of these
12: Why is the sampling distribution considered theoretical?
A. Because it is based on the notion of an infinite number of samples.
B. It is not theoretical, it is the same in every sample.
C. Because it is theory driven.
D. None of these
13: Which of the following is considered a small sample, which the t distribution applies to?
A. >1,000
B. >500
C. <100
D. None of these
14: Which of the following statements describes the relationship between the t and z curve?
A. They are the same, they just have different letters.
B. They examine the mean differently.
C. The t is several different curves, unlike a fixed z curve.
D. None of these
15: Which of the following statements describes a characteristic of the t distribution?
A. As sample size increases, it becomes more positively skewed.
B. As sample sized increases, it becomes more negatively skewed.
C. As sample size increases, it becomes more normal.
D. As sample size decreases, it becomes more normal.
16: _____ is the property of the sampling distribution that guarantees that this curve will be normally distributed when infinite samples of large size have been drawn.
A. It is a normal distribution.
B. Central limit theorem
C. All of these
D. It is a continuous distribution.
17: _____ is defined as the statistic used in ANOVA; a ratio of the amount of between-group variance present in a sample relative to the amount of within-group variance.
A. Mean
B. All of these
C. A number
D. F Statistic
18: _____ is known as a number that describes a population from which samples might be drawn.
A. They provide information that measures of central tendency do not.
B. They explicitly help us organize data.
C. Parameter
D. None of these
19: Is population distribution an empirical distribution made of raw scores from a population?
A. True
B. False
20: _____ is an empirical distribution made of raw scores from a sample.
A. N and R
B. None of these
C. R
D. Sample distribution
21: _____ is defined as a theoretical distribution made out of an infinite number of sample statistics.
A. Undefined relationships
B. None of these
C. Negative relationships
D. Sampling distribution
22: _____ is known as the uncertainty introduced into a sample statistic by the fact that any given sample is only one of many samples that could have been drawn from that population.
A. All of these
B. Being great at math
C. Understanding complex calculus-based equations
D. Sampling error
23: Is standard error the standard deviation of the sampling distribution?
A. True
B. False
24: _____ is a family of curves whose shapes are determined by the size of the sample. All t curves are uni- modal and symmetric, and have an area of 1.00.
A. 0.00–100.00
B. T distribution
C. None of these
D. They have infinite range.
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Population, Sample, and Sampling Distributions MCQs
