Population, Sample, and Sampling Distributions MCQ
Population, Sample, and Sampling Distributions MCQ
1. _____ 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.
Answer
Correct Answer:
T distribution
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2. Is standard error the standard deviation of the sampling distribution?
Answer
Correct Answer:
True
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3. _____ 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.
Answer
Correct Answer:
Sampling error
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4. _____ is defined as a theoretical distribution made out of an infinite number of sample statistics.
Answer
Correct Answer:
Sampling distribution
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5. _____ is an empirical distribution made of raw scores from a sample.
Answer
Correct Answer:
Sample distribution
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6. Is population distribution an empirical distribution made of raw scores from a population?
Answer
Correct Answer:
True
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7. _____ is known as a number that describes a population from which samples might be drawn.
Answer
Correct Answer:
Parameter
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8. _____ 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.
Answer
Correct Answer:
F Statistic
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9. _____ 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.
Answer
Correct Answer:
Central limit theorem
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10. Which of the following statements describes a characteristic of the t distribution?
Answer
Correct Answer:
As sample size increases, it becomes more normal.
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11. Which of the following statements describes the relationship between the t and z curve?
Answer
Correct Answer:
The t is several different curves, unlike a fixed z curve.
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12. Which of the following is considered a small sample, which the t distribution applies to?
Answer
Correct Answer:
<100
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13. Why is the sampling distribution considered theoretical?
Answer
Correct Answer:
Because it is based on the notion of an infinite number of samples.
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14. Which of the following statements describes the shape of the sampling distribution?
Answer
Correct Answer:
The normal curve
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15. Which of the following statements about populations is true?
Answer
Correct Answer:
Typically too large to measure
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16. Sampling distributions can be considered which of the following?
Answer
Correct Answer:
Means and proportions
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17. Which of the following statements provides the definition of sampling error?
Answer
Correct Answer:
The standard distribution of a sampling distribution
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18. Which of the following statements is a guarantee provided by the central limit theorem?
Answer
Correct Answer:
Curve will be normal given infinite samples.
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19. The t distribution changes its shape depending on the sample size.
Answer
Correct Answer:
True
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20. The central limit theorem ensures that skewed variables will produce normal sampling distributions.
Answer
Correct Answer:
True
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21. Samples vary from sample to sample due to sampling error.
Answer
Correct Answer:
True
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22. Populations are difficult for researchers to examine directly because of their large size.
Answer
Correct Answer:
True
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23. A sample and a sampling distribution are equivalent.
Answer
Correct Answer:
False
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24. Binomials are represented by the normal curve.
Answer
Correct Answer:
False
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