Descriptive Statistics MCQs (Research methods)
Descriptive Statistics MCQs (Research methods)
The following Descriptive Statistics MCQs for Research methods have been compiled by our experts through research, in order to test your knowledge of the subject of Descriptive Statistics. We encourage you to answer these multiple-choice questions to assess your proficiency.
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1: Statistical comparisons that examine how two variables relate to each other is known as ?
A. Bivariate
B. Central tendency
C. Descriptive statistics
D. None of these
2: Statistical test that summarizes the typical sample response to a variable.
A. Bivariate
B. Central tendency
C. Descriptive statistics
D. None of these
3: Statistics that summarize or compare patterns in sample data without trying to relate those patterns to the wider population is known as ?
A. Bivariate
B. Central tendency
C. Descriptive statistics
D. None of these
4: Statistical tests that summarize the spread of a distribution of sample responses to a variable.
A. Dispersion
B. Frequency
C. Histogram
D. Multivariate
5: Frequency is a graphical representation of the distribution of data that is commonly used to determine whether a distribution is normally distributed or not.
A. True
B. False
6: Inferential statistics are statistical tests that relate observed sample data to observed population characteristics.
A. True
B. False
7: Comparisons that involve two variables is known as Multivariate
A. True
B. False
8: Normal distribution is also known as the______.
A. Bell-curve
B. Statistic
C. Statistical control variable
D. None of these
9: _________ is a linear graphical representation of where data should be if the distribution is normal compared to what data actually look like.
A. Quantile–Quartile
B. Statistic
C. Statistical control variable
D. Bell-curve
10: _______ is a way to summarize and to compare patterns in information observed in data.
A. Quantile–Quartile
B. Statistic
C. Statistical control variable
D. Bell-curve
11: _________is in multivariate analyses, these are variables other than the main independent variable(s) of interest that might affect the dependent variable and threaten validity if not included in the model.
A. Quantile–Quartile
B. Statistic
C. Statistical control variable
D. Bell-curve
12: Statistical significance is a threshold, usually a minimum of ______that helps determine whether an observed result is likely because of chance (hence the null hypothesis cannot be rejected) or a phenomenon of interest.
A. 95%
B. 96%
C. 97%
D. 98%
13: Summarizing or examining two variables without relating it to other variables are known as Univariate.
A. True
B. False
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Descriptive Statistics MCQs (Research methods)
