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

A. plot_kernel_density(values)

B. geom_density(mapping = aes(x = values))

C. density_plot(values, kernel = TRUE)

D. kde(values)

A. Creates a bar plot for a categorical variable

B. Generates random bars in a plot

C. Plots a probability distribution function

D. Computes the mean and standard deviation of a variable

A. rpois(lambda)

B. poisson_random(lambda)

C. random_poisson(lambda)

D. generate_poisson(lambda)

A. Plots the residuals against the fitted values

B. Creates a scatter plot of the model predictions

C. Plots the model coefficients

D. Generates a summary plot for the model

A. mode(variable)

B. calculate_mode(variable)

C. modal_value(variable)

D. compute(variable, "mode")

A. Organizes multiple plots in a grid layout

B. Adjusts the layout of the main plot and legend

C. Defines the layout of a specific layer in a plot

D. Creates a layout for a Shiny web application

A. Draws a polygon on the plot

B. Adds a polygonal shape to the legend

C. Connects data points with straight lines

D. Fills the plot background with a polygonal shape

A. stemleaf(values)

B. create_stemleaf(values)

C. geom_stemleaf(mapping = aes(x = values))

D. plot_stemleaf(values)

A. Creates scatter plots for all pairs of numeric variables

B. Generates pairwise scatter plots and correlations

C. Plots a matrix of bivariate scatter plots

D. Adds pairs of points to an existing plot

A. time_series(values ~ time)

B. plot_time_series(values, time)

C. geom_line(mapping = aes(x = time, y = values))

D. tsplot(values, time)