Analyzing Quantitative Data MCQs
Analyzing Quantitative Data MCQs
These Analyzing Quantitative Data multiple-choice questions and their answers will help you strengthen your grip on the subject of Analyzing Quantitative Data. You can prepare for an upcoming exam or job interview with these 50+ Analyzing Quantitative Data MCQs.
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1: A frequency distribution is a numerical display of the number (and usually percentage) of cases for each value or group of values.
A. True
B. False
2: Inferential statistics are statistics used to describe the distribution of variables.
A. True
B. False
3: Skewness is a feature of a variable’s distribution that refers to the clustering of the data at one end of the distribution or the other.
A. True
B. False
4: A bar chart is useful for graphically displaying ratio level variables.
A. True
B. False
5: The median is the most frequent value in a distribution.
A. True
B. False
6: The mean is the arithmetic average of all scores in a distribution.
A. True
B. False
7: The mode is greatly affected by outliers in a distribution.
A. True
B. False
8: The standard deviation is the highest value in a distribution minus the lowest value in a distribution.
A. True
B. False
9: The variance is the average squared deviation of each score from the mean of all scores.
A. True
B. False
10: A cross-tabulation table reveals four aspects of the association between two variables including existence, strength, direction, and pattern.
A. True
B. False
11: Statistical significance means that an association is not likely to be due to chance.
A. True
B. False
12: The most widely used inferential statistic to test a hypothesis about two or more variables in a cross-tabulation is the chi-square statistic.
A. True
B. False
13: A Pearson’s r correlation coefficient measures the association between two categorical variables.
A. True
B. False
14: A regression analysis can include more than two variables simultaneously when estimating variable effects.
A. True
B. False
15: _____ is known as a graphic for qualitative variables in which the variable’s distribution is displayed with solid bars separated by spaces.
A. Contamination
B. Interval level of measurement
C. All of these
D. Bar chart
16: Is base N the total number of cases in a distribution?
A. True
B. False
17: _____ is a distribution that has two nonadjacent categories with about the same number of cases, and these categories have more cases than any other categories.
A. Idiographic causal explanation
B. Bimodal distribution
C. All of these
D. Intervening variables
18: _____ is defined as a feature of a variable’s distribution; refers to the value or values around which cases tend to center.
A. None of these
B. Evidence‑based policy
C. Between-subjects design
D. Central tendency
19: _____ is known as an inferential statistic used to test hypotheses about relationships between two or more variables in a cross-tabulation.
A. All of these
B. Idiographic causal explanation
C. Bimodal distribution
D. Chi-square
20: Is correlation analysis a standardized statistical technique that summarizes the strength of a relationship between two quantitative variables in terms of its adherence to a linear pattern?
A. True
B. False
21: Is correlation coefficient (r) a summary statistic that varies from 0 to 1 or -1, with 0 indicating the absence of a linear relationship between two quantitative variables and 1 or -1 indicating that the relationship is completely described by the line representing the regression of the dependent variable on the independent variable?
A. True
B. False
22: _____ is a bivariate (two-variable) distribution showing the distribution of one variable for each category of another variable.
A. Cognitive interview
B. Cross-tabulation (cross-tab)
C. All of these
D. Intensive interviewing
23: _____ is defined as the process of checking data for errors after the data have been entered in a computer file.
A. Crime mapping
B. Data cleaning
C. None of these
D. Overgeneralization
24: _____ is known as statistics used to describe the distribution of and relationship among variables.
A. Sample
B. Descriptive statistics
C. All of these
D. Between-subjects design
25: Is elaboration analysis the process of introducing a third variable into an analysis in order to better understand—to elaborate—the bivariate (two-variable) relationship under consideration; additional control variables also can be introduced?
A. True
B. False
26: _____ is numerical display showing the number of cases, and usually the percentage of cases (the relative frequencies), corresponding to each value or group of values of a variable.
A. Matched-groups design
B. None of these
C. Frequency distributions
D. Confidence limits
27: _____ is defined as a measure of association sometimes used in cross-tabular analyses.
A. Illogical reasoning
B. Pseudoscience
C. None of these
D. Gamma
28: _____ is known as a frequency distribution in which the data are organized into categories, either because there are more values than can be easily displayed or because the distribution of the variable will be clearer or more meaningful.
A. Grouped frequency distribution
B. Repeated cross‑sectional design (trend study)
C. Social networks
D. All of these
29: Is histogram a graphic for quantitative variables in which the variable’s distribution is displayed with adjacent bars?
A. False
B. True
30: _____ is Mathematical tools for estimating how likely it is that a statistical result based on data from a random sample is representative of the population from which the sample is assumed to have been selected.
A. None of these
B. Between-subjects design
C. Discrete measure
D. Inferential statistics
31: _____ is defined as the range in a distribution between the end of the first quartile and the beginning of the third quartile.
A. Interval level of measurement
B. All of these
C. Interquartile range
D. Contamination
32: _____ is known as the summary distributions in the margins of a cross-tabulation that correspond to the frequency distribution of the row variable and of the column variable.
A. Marginal distributions
B. Face validity
C. None of these
D. Stakeholders
33: Is mean the arithmetic or weighted average, computed by adding up the value of all the cases and dividing by the total number of cases?
A. False
B. True
34: _____ is A type of descriptive statistic that summarizes the strength of an association.
A. All of these
B. Measure of association
C. Treatment
D. Resistance to change
35: _____ is defined as the position average, or the point that divides a distribution in half (the 50th percentile).
A. Between-subjects design
B. Median
C. None of these
D. Disproportionate stratified sampling
36: _____ is known as the most frequent value in a distribution, also termed the probability average.
A. All of these
B. Crime mapping
C. Epistemology
D. Mode
37: Is monotonic relationship a pattern of association in which the value of cases on one variable increases or decreases fairly regularly across the categories of another variable?
A. True
B. False
38: _____ is a distribution in which cases cluster to the right side and the left tail of the distribution is longer than the right.
A. Sampling error
B. Overgeneralization
C. Negatively skewed
D. None of these
39: _____ is defined as an exceptionally high or low value in a distribution.
A. Outlier
B. All of these
C. Between-subjects design
D. Program theory
40: _____ is known as relative frequencies, computed by dividing the frequency of cases in a particular category by the total number of cases and multiplying by 100.
A. Percentage
B. All of these
C. Exhaustive responses
D. Illogical reasoning
41: Is positively skewed describes a distribution in which the cases cluster to the left and the right tail of the distribution is longer than the left?
A. False
B. True
42: _____ is the points in a distribution corresponding to the first 25% of the cases, the first 50% of the cases, and the top 25% of the cases.
A. Quartiles
B. Between-subjects design
C. Inaccurate observation
D. None of these
43: _____ is defined as the true upper limit in a distribution minus the true lower limit (or the highest rounded value minus the lowest rounded value, plus one).
A. None of these
B. Empirical generalizations
C. Range
D. Institutional review board (IRB)
44: _____ is known as a statistical technique for characterizing the pattern of a relationship between two quantitative variables in terms of a linear equation and for summarizing the strength of this relationship.
A. All of these
B. Dependent variable
C. Closed-ended (fixed choice) questions
D. Regression analysis
45: Is skewness a feature of a variable’s distribution; refers to the extent to which cases are clustered more at one or the other end of the distribution rather than around the middle?
A. False
B. True
46: _____ is a type of relationship involving three or more variables in which the association between the independent and dependent variables varies across the categories of one or more other control variables.
A. Specification
B. Nuremberg War Crime Trials
C. None of these
D. Nonresponse
47: _____ is defined as the square root of the average squared deviation of each case from the mean.
A. Interquartile range
B. None of these
C. Contamination
D. Standard deviation
48: _____ is known as An association that is not likely to be due to chance, judged by a criterion set by the analyst (often that the probability is less than 5 out of 100 or p < .05).
A. Index
B. All of these
C. Statistical significance
D. Control or comparison group
49: Is subtables tables describing the relationship between two variables within the discrete categories of one or more other control variables?
A. True
B. False
50: _____ is a distribution of a variable in which there is only one value that is the most frequent.
A. Unimodal distribution
B. Contamination
C. Interval level of measurement
D. All of these
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Analyzing Quantitative Data MCQs
