Probability From Samples to Statistics MCQs
Probability From Samples to Statistics MCQs
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1: A range of values between which 68% of all sample means (or proportions) will fall is called _____
A. 68% confidence level
B. 95 %confidence level
C. 99% confidence level
D. None of these
2: A range of values between which we can be 95% confident that a mean or proportion will fall is known as _____
A. 68% confidence level
B. 95 %confidence level
C. 99% confidence level
D. None of these
3: A range of values between which we can be 99% confident that a mean or proportion will fall is known as _____.
A. 68% confidence level
B. 95 %confidence level
C. 99% confidence level
D. None of these
4: A concept used to account for the difference in shape between a sampling distribution and a normal curve is called Degrees of freedom.
A. True
B. False
5: All of the members of a population are eligible to be included in the sample are known as _____.
A. Elements
B. Compounds
C. Atoms
D. None of these
6: A sample in which members of the population have unknown or different probabilities of being selected is called ____ sample.
A. Probability
B. Non probability
C. Both of these
D. None of these
7: A prediction that no trend or pattern exists in the data is called _____.
A. Null hypothesis
B. Alternative hypothesis
C. Research hypothesis
D. Directional hypothesis
8: Measures are the sed to describe the characteristics of a population is called _____.
A. Parameters
B. Population
C. Graphs
D. Sample
9: A sample in which each member of the population has a known and equal probability of being selected is called _____ sample.
A. Random
B. Simple random sample
C. Representative sample
D. Population
10: A prediction that a trend or pattern exists in the data is called research hypothesis.
A. True
B. False
11: The difference between the characteristics of a random sample and the characteristics of the population from which the sample was drawn is called ______
A. Sampling error
B. Non sampling error
C. Standard error
D. Sampling bias
12: A technique used to estimate the magnitude of difference between means from two random samples using standard deviations is called Standard error of differentiation.
A. True
B. False
13: An estimate of the standard deviation of a distribution of means from a series of samples. It is based on a single sample is called Standard error of the ____.
A. Mean
B. Proportion
C. Differentiation
D. Deviation
14: An estimate of the standard deviation of a distribution of proportions from a series of samples. It is based on a single sample.
A. Mean
B. Proportion
C. Differentiation
D. Deviation
15: A family of curves, each differing slightly more from the normal curve depending on the number of degrees of freedom is called ____ distribution
A. T
B. D
C. Z
D. A
16: An error that occurs when we reject the null hypothesis when in fact the null hypothesis is true is called ____ error.
A. Type I
B. Type II
C. Type III
D. Type IV
17: An error that occurs when we fail to reject the null hypothesis when in fact the null hypothesis is false is called ____ error.
A. Type I
B. Type II
C. Type III
D. Type IV
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Probability From Samples to Statistics MCQs
