Inferential Statistics Research MCQs
Inferential Statistics Research MCQs
The following Inferential Statistics Research MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Inferential Statistics Research. We encourage you to answer these 50 multiple-choice questions to assess your proficiency.
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1: Which of the following symbols represents a population parameter?
A. SD
B. μ
C. R
D. P–
2: The theoretical probability distribution of all values of a statistic when all possible random samples are drawn from a population is known as a ______.
A. Population distribution
B. Sample distribution
C. Sampling distribution
D. Parameter distribution
3: Practical significance ______.
A. Is obtained if the significance level is .01
B. Is not a concern if the researcher has statistical significance
C. Is a measure of the strength of a relationship between variables
D. Is considered when interpreting statistically significant results
4: You have just used the statistical program called SPSS to calculate a 95% confidence interval and a 99% confidence interval. Which statement is true?
A. The 95% interval will be narrower.
B. The two intervals will be the same width.
C. Both estimates will always include the population parameter.
D. The 99% interval will be narrower.
5: The statistical procedure known as analysis of variance (ANOVA) is used to see whether group means are significantly different. This test can be used for how many group means?
A. Only two group means
B. Only three group means
C. Two or more group means
D. Three or more group means
6: A numerical characteristic of a population (such as a mean) is called ______, and a numerical characteristic of a sample (such as a mean) is called ______. (Select the answer with the two correct terms in their correct order.)
A. Sample; population
B. Population; sample
C. Statistic, parameter
D. Parameter; statistic
7: The difference between the value of the sample statistic and the corresponding population parameter is the ______.
A. Standard error
B. Sampling error
C. Sampling distribution
D. Standard deviation of a sampling distribution
8: A ______ results if you “reject a true null” hypothesis, and a ______ results if you “fail to reject a false null” hypothesis. (Select the letter that has the right answers in their correct order.)
A. Type I error; Type II error
B. Type II error; Type I error
C. Type III error; Type II error
D. Type IV error; Type I error
9: In hypothesis testing, the “probability of the observed result of your research result, or a more extreme result, if the null hypothesis were true” is called the ______, and the “cutoff the researcher uses to decide when to reject the null hypothesis” is called the ______.
A. Practical significance; statistical significance
B. Significance level; probability value
C. P value; alpha level
D. First rule; second rule
10: The symbols in the null and alternative hypotheses are ______.
A. Greek letters standing for population parameters
B. English letters standing for sample statistics
C. English letters standing for population parameters
D. Greek letters standing for sample statistics
11: The standard deviation of a sampling distribution is called the sampling deviation.
A. True
B. False
12: In significance testing, the research hypothesis is actually tested.
A. True
B. False
13: The significance level also is called the alpha level.
A. True
B. False
14: In the one-way analysis of variance procedure, post hoc tests are needed when the overall one-way analysis of variance is statistically significant and you have two group means.
A. True
B. False
15: In hypothesis testing (or significance testing), the research finding is said to be statistically significant when the significance level is less than or equal to the probability value.
A. True
B. False
16: A statement that the population parameter is some value other than the value stated by the null hypothesis; it is the complement of the null hypothesis. For example, if the null hypothesis states that two population means are equal, then the alternative hypothesis would state that the two means are not equal Is called alternative hypothesis
A. True
B. False
17: A statistical test used to determine whether a relationship observed in a contingency table is statistically significant is called chi-square test for contingency tables
A. True
B. False
18: A range of numbers inferred from the sample that has a certain probability or chance of including the population parameter is called _____
A. Confidence interval
B. Confidence limits
C. Confidence level
D. All of above
19: The endpoints of a _____ is called confidence limits
A. Confidence interval
B. Confidence limits
C. Confidence level
D. All of above
20: An alternative hypothesis that contains either a greater than sign (>) or a less than sign (<) is called
A. Directional alternative hypothesis
B. Non directional alternative hypothesis
C. Specific alternative hypothesis
D. Alternative hypothesis
21: A measure of the strength or magnitude of a relationship between the independent and dependent variables is called effect size indicator
A. True
B. False
22: The branch of inferential statistics that is concerned with how well the sample data support a null hypothesis and when the null hypothesis can be rejected Is called hypothesis testing
A. True
B. False
23: Statistics that go beyond the immediate data and infer the characteristics of populations based on samples; use of the laws of probability to make inferences and draw statistical conclusions about populations based on sample data is called
A. Inferential statistics
B. Non inferential statistics
C. Complex statistics
D. None of above
24: The probability that a confidence interval to be constructed from a _____ will include the population parameter is called level of confidence.
A. Random sample
B. Regular sample
C. Systematic sample
D. All of above
25: State the null and alternative hypotheses.Set the significance level before analyzing the data. (Most educational researchers use .05 as the significance level. Note that the significance level is also called the alpha level or, more simply, alpha.)Obtain the probability value based on the analysis of your empirical data using a computer program such as SPSS. (Note that the probability value is also called the p value.)Compare the probability value to the significance level and make the statistical decision.
A. True
B. False
26: The smallest number on a confidence interval is called
A. Lower limit
B. Upper limit
C. No limit
D. All of above
27: One half the width of a confidence interval is called margin of error
A. True
B. False
28: An alternative hypothesis that includes the not equal (≠) sign is called
A. Nondirectional alternative hypothesis
B. Directional alternative hypothesis
C. Non Directional non-alternative hypothesis
D. Directional non -alternative hypothesis
29: A statement about a _____ is called null hypothesis
A. Population parameter
B. Community parameter
C. Family parameter
D. None of above
30: A statistical test used to compare two or more group means (also called one-way ANOVA) is called _____
A. One-way analysis of variance
B. Two -way analysis of variance
C. Three -way analysis of variance
D. Analysis of variance
31: A numerical characteristic of a _____ is called parameter
A. Population
B. Community
C. Species
D. All of above
32: The estimated value of a population parameter is called point estimate
A. True
B. False
33: The use of the value of a sample statistic as the estimate of the value of a population parameter is called point estimation
A. True
B. False
34: The large group to which a researcher wants to generalize the sample results; the complete set of cases is called
A. Population
B. Community
C. Species
D. None of above
35: A follow-up test to the _____ is called post hoc test
A. Analysis of variance
B. Analysis of standard deviation
C. Analysis of range
D. All of above
36: The likelihood of rejecting the _____ when it is false is called power
A. Null hypothesis
B. Simple hypothesis
C. Complex hypothesis
D. All of above
37: A conclusion made when a relationship is strong enough to be of practical importance is called non -practical significance
A. True
B. False
38: The probability of the observed result of your research study or a more extreme result, if the null hypothesis were true (also called p value) is called p value
A. True
B. False
39: Repeated sampling is Drawing many or all possible samples from a population
A. True
B. False
40: A set of elements or cases taken from a larger population is called
A. Sampling error
B. Repeated sampling
C. Sampling distribution
D. Sample
41: The theoretical probability distribution of the values of a statistic that results when all possible random samples of a particular size are drawn from a population is called
A. Sampling error
B. Repeated sampling
C. Sampling distribution
D. Sample
42: The theoretical probability distribution of the means of all possible random samples of a particular size drawn from a population is sampling distribution of the mean
A. True
B. False
43: The difference between the value of a sample statistic and the corresponding population parameter is called
A. Sampling error
B. Repeated sampling
C. Sampling distribution
D. Sample
44: The cutoff the researcher uses to decide when to reject the null hypothesis (also called alpha level); the researcher hopes the p value will be less than the significance level is alpha level
A. True
B. False
45: A commonly used synonym for hypothesis testing is _____ testing
A. Classic
B. Significance
C. Standard
D. All of these
46: The standard deviation of a sampling distribution is _____ error
A. Classic
B. Standard
C. Positive
D. Negative
47: A numerical characteristic of a sample is known as _____
A. Physics
B. Statistics
C. Maths
D. All of these
48: The claim made in significance testing when the evidence suggests that the observed result was probably not due to chance; we believe it is a real relationship
A. True
B. False
49: A statistical test used to determine whether a correlation coefficient is statistically significant is t test for correlation coefficients
A. True
B. False
50: T test for independent samples is statistical test used to determine whether the difference between the means of two groups is statistically significant
A. True
B. False
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Inferential Statistics Research MCQs
