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

A. rnorm()

B. random_normal()

C. generate_normal()

D. random_numbers()

A. hist(variable)

B. create_histogram(variable)

C. geom_histogram(mapping = aes(x = variable))

D. plot_histogram(variable)

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

A. boxplot(values)

B. plot_box(values)

C. geom_boxplot(mapping = aes(y = values))

D. create_boxplot(values)

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

A. runif(n)

B. uniform(n)

C. random_uniform(n)

D. generate_uniform(n)

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

A. scatter(x, y)

B. plot(x, y)

C. geom_point(mapping = aes(x = x, y = y))

D. create_scatter(x, y)

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

A. plot_probability()

B. probability_plot()

C. qqplot(data)

D. probplot(data)