MCQ Collection
Data Visualization MCQs
Practice Data Visualization questions with answers and explanations.
Choose an option to check your answer.
A.
All observations are identical
B.
The sample size is necessarily large
C.
The median must be zero
D.
Observations tend to be widely dispersed around the mean
Show Answer
Correct Answer: D. Observations tend to be widely dispersed around the mean
Explanation:
Standard deviation summarizes typical distance from the mean in the original units.
Choose an option to check your answer.
A.
Examining how income changes with years of education
B.
Summarizing the ages in one column
C.
Counting missing values in the entire file
D.
Listing the names of all variables
Show Answer
Correct Answer: A. Examining how income changes with years of education
Explanation:
Bivariate analysis investigates the relationship between two variables.
Choose an option to check your answer.
A.
Simpson's paradox
B.
The central limit theorem
C.
Perfect multicollinearity
D.
Random number seeding
Show Answer
Correct Answer: A. Simpson's paradox
Explanation:
Simpson's paradox occurs when an aggregate association differs from subgroup associations.
Choose an option to check your answer.
A.
seq()
B.
sum()
C.
replicate_plot()
D.
levels()
Show Answer
Correct Answer: A. seq()
Explanation:
seq() can specify the starting value, ending value, step size, or desired length.
Choose an option to check your answer.
A.
It averages squared deviations from the mean
B.
It counts only positive observations
C.
It is always computed from percentages
D.
It divides each observation by itself
Show Answer
Correct Answer: A. It averages squared deviations from the mean
Explanation:
Squaring prevents positive and negative deviations from cancelling.
Choose an option to check your answer.
A.
To remove all measurement error
B.
To show patterns involving three or more variables simultaneously
C.
To convert data into text
D.
To ensure equal sample sizes
Show Answer
Correct Answer: B. To show patterns involving three or more variables simultaneously
Explanation:
Multivariate displays encode several variables through position, color, size, shape, or facets.
Choose an option to check your answer.
A.
A data frame
B.
An atomic vector
C.
A list
D.
A formula object
Show Answer
Correct Answer: B. An atomic vector
Explanation:
An atomic vector contains values of one common type, such as numeric or character.
Choose an option to check your answer.
A.
To remove duplicate rows
B.
To repeat values according to a specified pattern
C.
To fit a regression model
D.
To rename a package
Show Answer
Correct Answer: B. To repeat values according to a specified pattern
Explanation:
rep() creates repeated sequences or repeated individual elements.
Choose an option to check your answer.
A.
The median
B.
The range
C.
The first quartile
D.
The coefficient of variation
Show Answer
Correct Answer: B. The range
Explanation:
The range is calculated as maximum minus minimum.
Choose an option to check your answer.
A.
Lossless compression
B.
Deterministic sampling
C.
Overinterpretation of chance patterns
D.
Improved external validity
Show Answer
Correct Answer: C. Overinterpretation of chance patterns
Explanation:
Repeated searching can uncover patterns that exist only by chance.
Choose an option to check your answer.
A.
An atomic vector
B.
A scalar constant
C.
A data frame
D.
A single factor level
Show Answer
Correct Answer: C. A data frame
Explanation:
A data frame organizes observations in rows and variables in columns.
Choose an option to check your answer.
A.
cbind()
B.
merge_levels()
C.
rbind()
D.
unlist()
Show Answer
Correct Answer: C. rbind()
Explanation:
rbind() binds objects by row and therefore adds observations vertically.
