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

A. mean(variable)

B. calculate_mean(variable)

C. average(variable)

D. compute(variable, "mean")

A. cdf()

B. cumulative_distribution()

C. pbinom()

D. cumsum()

A. qnorm(values)

B. plot_normal_prob(values)

C. qqnorm(values)

D. create_normal_prob_plot(values)

A. Creates a box-and-whisker plot for a numeric variable

B. Plots a box-shaped figure with user-defined dimensions

C. Estimates the probability density function of a variable

D. Generates a random sample from a box-shaped distribution

A. median(variable)

B. calculate_median(variable)

C. median_value(variable)

D. compute(variable, "median")

A. Adds a line to the quantile-quantile plot

B. Plots the quantile-quantile line

C. Generates a random sample from a normal distribution

D. Evaluates the quantiles of a distribution

A. rbinom(n, p)

B. binomial_sample(n, p)

C. sample_binomial(n, p)

D. generate_binomial(n, p)

A. stdev(variable)

B. calculate_sd(variable)

C. sd_value(variable)

D. compute(variable, "sd")

A. qqplot(values, dist)

B. geom_qqplot(mapping = aes(sample = values), dist)

C. qqnorm(values, dist)

D. create_qqplot(values, dist)

A. Computes the probability density function of a numeric variable

B. Plots a histogram with probabilities as heights

C. Generates a random sample from a probability distribution

D. Creates a probability plot for a numeric variable