Testing Relationships in Political Science MCQs
Testing Relationships in Political Science MCQs
These Testing Relationships in Political Science multiple-choice questions and their answers will help you strengthen your grip on the subject of Testing Relationships in Political Science. You can prepare for an upcoming exam or job interview with these Testing Relationships in Political Science MCQs.
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1: A statement about the value or values of a population parameter is called
A. Alternative hypothesis
B. Null hypothesis
C. Research hypothesis
D. Statistical hypothesis
2: Confidence interval is a range of values into which a population parameter is likely to fall for a given level of confidence.
A. True
B. False
3: A statement that a population parameter equals a single or specific value is called
A. Alternative hypothesis
B. Null hypothesis
C. Research hypothesis
D. Statistical hypothesis
4: In which hypothesis statement about the value or values of a population parameter?
A. Alternative hypothesis
B. Null hypothesis
C. Research hypothesis
D. Statistical hypothesis
5: In which hypothesis statement about the value or values of a population parameter?
A. Alternative hypothesis
B. Null hypothesis
C. Research hypothesis
D. Statistical hypothesis
6: Two types of hypotheses essential to hypothesis testing is called
A. Alternative hypothesis
B. Null hypothesis
C. Research hypothesis
D. Statistical hypothesis
7: The probability of making a type ____ error.
A. I
B. II
C. III
D. IV
8: A convention for testing hypotheses that focuses on the probability of making a type ____ error.
A. I
B. II
C. III
D. IV
9: Error made by rejecting a null hypothesis when it is true is called
A. Type I
B. Type II
C. Type III
D. Type IV
10: Error made by failing to reject a null hypothesis when it is not true is known as
A. Type I
B. Type II
C. Type III
D. Type IV
11: In which score the number of standard deviations by which a score deviates from the mean score?
A. X
B. Y
C. Z
D. B
12: Inference refers to reasoning from available information or facts to reach a conclusion.
A. True
B. False
13: A type ______ error is made by failing to reject a null hypothesis when it is not true.
A. One
B. Two
C. Three
D. Four
14: Level of significance (like 0.05) indicates the chance of making a type II error.
A. True
B. False
15: Which of the following statistics measures how much variation (or imprecision) there is in the sample estimator of the mean?
A. Standard error of the sample
B. Standard error of the population
C. Standard error of the parameter
D. Standard error of the mean
16: To calculate the degrees of freedom for use in a t-test, you use which of the following formulas (where N = the sample size)?
A. 1 − N
B. 1 + N
C. N + 1
D. N − 1
17: To calculate the standard error of the mean you simply divide the standard deviation by the square root of the sample size.
A. True
B. False
18: As the sample size grows, the t-distribution looks more and more like the normal distribution until they are identical with a sufficiently large sample size.
A. True
B. False
19: We have more certainty in a large sample size and less certainty in a small sample size.
A. True
B. False
20: Which of the following is used to describe the absence of a statistical relationship between two or more variables?
A. Alternative
B. Research
C. Null
D. Vacant
21: If you are predicting that your sample statistic is different from the population parameter, but you are not predicting whether it is smaller or larger, you will be conducting a ______.
A. One-tailed test
B. Two-tailed test
C. Z-test
D. T-test
22: Confidence level is degree of belief or probability that an estimated range of values includes or covers the population parameter
A. True
B. False
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