Organizing, Displaying, and Presenting Data MCQs
Organizing, Displaying, and Presenting Data MCQs
Answer these 20+ Organizing, Displaying, and Presenting Data MCQs and see how sharp is your knowledge of Organizing, Displaying, and Presenting Data.
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1: Prevalence is defined as a raw count of the number of times a particular characteristic appears in a data set.
A. True
B. False
2: Pie charts can be used with continuous data.
A. True
B. False
3: A histogram has spaces between bars.
A. True
B. False
4: Grouping data are helpful because it transforms ordinal data into continuous data.
A. True
B. False
5: Longitudinal variables are variables that are measured over time.
A. True
B. False
6: Which of the following is a characteristic of bar graphs?
A. Meant to be used with categorical data
B. Does not limit the number of classes a variable can contain
C. Should be used when six or more classes of data exist
D. All of these
7: Which of the following statements describes a rate?
A. How fast something goes
B. A method of standardization that involves dividing the number of events of interest by the population
C. An interval
D. A longitudinally measured concept
8: How many variables are depicted in a univariate display?
A. 1
B. 2
C. 3
9: Which of the following describes how bivariate contingency displays can be computed?
A. Rows
B. Columns
C. Rows and columns
D. None of these
10: A line chart presents what type of data?
A. Longitudinal
B. Cross-sectional
C. Continuous
D. Categorical
11: Which of the following is not a step in the process of grouping data?
A. Finding the range of data
B. Selecting the desired intervals
C. Setting class limits
D. Transforming the data into z-scores
12: Which of the following is an issue when constructing class limits?
A. They must be inclusive.
B. They must be exhaustive.
C. They must be mutually exclusive.
D. All of these
13: Which of the following depicts the range of percentages?
A. 0.00–1.00
B. 0.00–100.00
C. They have no range.
D. They have infinite range.
14: Which of the following statements indicate why raw frequencies are of limited use in graphical displays?
A. They are difficult to interpret.
B. They are not accurate.
C. They provide too much information.
D. None of these
15: Which type of data is best presented in a pie chart?
A. Categorical
B. Continuous
C. Ratio level
D. All of these
16: _____ is analysis involving two variables. Usually, one is designated the independent variable and the other the dependent variable.
A. The point in which the line crosses the Y-axis
B. The point in which the line crosses the X-axis
C. Bivariate
D. All of these
17: _____ is defined as the place in a table where a row and a column meet.
A. All of these
B. A chart that contains the area of the curve that is between the mean and a given z score
C. T scores
D. Cell
18: _____ is known as the categories or groups on a categorical variable.
A. None of these
B. Means
C. Classes
D. Means and proportions
19: Is contingency table a table showing the overlap between two variables?
A. True
B. False
20: _____ is a frequency, proportion, or percentage obtained by adding a given number to all numbers below it.
A. The manner in which research is written
B. All of these
C. The process used to obtain scientific results
D. Cumulative
21: _____ is defined as a raw count of the number of times a particular characteristic appears in a data set.
A. T curve
B. Normal curve
C. All of these
D. Frequency
22: _____ is known as variables measured repeatedly over time.
A. Longitudinal variables
B. Compute the obtained value of the statistic
C. All of these
D. Choose a statistical statistic
23: Is percentage a standardized form of a frequency that ranges from 0.00 to 100.00?
A. True
B. False
24: _____ is a standardized form of a frequency that ranges from 0.00 to 1.00.
A. Proportion
B. None of these
C. Matched pair
D. Pooled variance
25: _____ is defined as patterns that indicate whether something is increasing, decreasing, or staying the same over time.
A. Trends
B. 3
C. None of these
D. 2
26: _____ is known as involving one variable
A. Univariate
B. None of these
C. Multivariate regression
D. ANOVA
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Organizing, Displaying, and Presenting Data MCQs
