Statistical Analysis with R (Distributions, Graphics) MCQ question and answer with solution

Statistical Analysis with R (Distributions, Graphics) MCQ question and answer with solution | R Programming MCQs

Learn Statistical Analysis with R (Distributions, Graphics) MCQ Questions and answers with easy and logical explanations in R Programming. Statistical Analysis with R (Distributions, Graphics) MCQ question provides all type of technical mcq questions which is important for technical exams, campus exams and other entrance examination.

What function in R is used to generate random numbers from a standard normal distribution?

A) rnorm() B) random_normal() C) generate_normal() D) random_numbers()

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Answer & Solution

Answer: Option A

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In R, how do you create a histogram for a numeric variable variable?

A) hist(variable) B) create_histogram(variable) C) geom_histogram(mapping = aes(x = variable)) D) plot_histogram(variable)

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Answer: Option C

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What does the qqnorm() function in R do?

A) Plots a quantile-quantile plot for normality assessment B) Generates a random sample from a normal distribution C) Creates a normal probability plot D) Quantifies the normal distribution of a variable

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Answer: Option C

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How do you create a boxplot in R for a numerical variable named values?

A) boxplot(values) B) plot_box(values) C) geom_boxplot(mapping = aes(y = values)) D) create_boxplot(values)

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Answer: Option A

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What is the purpose of the density() function in R?

A) Computes the kernel density estimate of a numeric variable B) Creates a density plot for a numeric variable C) Calculates the probability density function of a variable D) Applies a density transformation to a data frame

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Answer: Option B

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In R, how do you generate random numbers from a uniform distribution between 0 and 1?

A) runif(n) B) uniform(n) C) random_uniform(n) D) generate_uniform(n)

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Answer: Option A

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What is the role of the ecdf() function in R?

A) Computes the empirical cumulative distribution function B) Estimates the expected cumulative distribution C) Evaluates the cumulative density function of a variable D) Creates an exclusive cumulative distribution function

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Answer: Option A

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How do you create a scatter plot in R for two numeric variables x and y?

A) scatter(x, y) B) plot(x, y) C) geom_point(mapping = aes(x = x, y = y)) D) create_scatter(x, y)

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Answer: Option C

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What is the purpose of the hist() function in R?

A) Creates a histogram for a numeric variable B) Computes the histogram of a distribution C) Generates a random sample from a histogram D) Plots a probability density function

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Answer: Option A

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How do you create a probability plot in R for assessing the fit of a distribution to observed data?

A) plot_probability() B) probability_plot() C) qqplot(data) D) probplot(data)

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Answer: Option C

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