Statistical Analysis With R _Distributions_ Graphics — Part 1 MCQs with Explanations

rnorm() is the correct answer to “What function in R is used to generate random numbers from a standard normal distribution”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

geom_histogram(mapping = aes(x = variable)) is the correct answer to “In R, how do you create a histogram for a numeric variable variable”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Creates a normal probability plot is the correct answer to “What does the qqnorm() function in R do”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

boxplot(values) is the correct answer to “How do you create a boxplot in R for a numerical variable named values”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Creates a density plot for a numeric variable is the correct answer to “What is the purpose of the density() function in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

runif(n) is the correct answer to “In R, how do you generate random numbers from a uniform distribution between 0 and 1”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Computes the empirical cumulative distribution function is the correct answer to “What is the role of the ecdf() function in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

geom_point(mapping = aes(x = x, y = y)) is the correct answer to “How do you create a scatter plot in R for two numeric variables x and y”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Creates a histogram for a numeric variable is the correct answer to “What is the purpose of the hist() function in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

qqplot(data) is the correct answer to “How do you create a probability plot in R for assessing the fit of a distribution to observed data”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

mean(variable) is the correct answer to “In R, how do you compute the mean of a numeric variable named variable”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

pbinom() is the correct answer to “What function is used to calculate the cumulative distribution function (CDF) of a distribution in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

qqnorm(values) is the correct answer to “How do you generate a normal probability plot in R for a numeric variable values”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Creates a box-and-whisker plot for a numeric variable is the correct answer to “What is the purpose of the boxplot() function in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

median(variable) is the correct answer to “In R, how do you compute the median of a numeric variable named variable”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Adds a line to the quantile-quantile plot is the correct answer to “What does the qqline() function in R do when used with a quantile-quantile plot”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

rbinom(n, p) is the correct answer to “How do you generate a random sample from a binomial distribution in R with parameters n and p”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

stdev(variable) is the correct answer to “What function is used to calculate the standard deviation of a numeric variable named variable in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

qqnorm(values, dist) is the correct answer to “How do you create a quantile-quantile plot for a numeric variable values against a theoretical distribution in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Plots a histogram with probabilities as heights is the correct answer to “In R, what is the purpose of the hist() function with the argument probability = TRUE”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

density_plot(values, kernel = TRUE) is the correct answer to “How do you create a kernel density plot in R for a numeric variable values”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Creates a bar plot for a categorical variable is the correct answer to “What is the purpose of the barplot() function in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

rpois(lambda) is the correct answer to “How do you generate random numbers from a Poisson distribution in R with parameter lambda”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Plots the residuals against the fitted values is the correct answer to “In R, what does the plot() function do when applied to a linear regression model”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

mode(variable) is the correct answer to “How do you calculate the mode of a numeric variable named variable in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Organizes multiple plots in a grid layout is the correct answer to “What is the role of the layout() function in R graphics”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Draws a polygon on the plot is the correct answer to “In R, what does the polygon() function do when used in a plot”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

geom_stemleaf(mapping = aes(x = values)) is the correct answer to “How do you create a stem-and-leaf plot for a numeric variable values in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Generates pairwise scatter plots and correlations is the correct answer to “What is the purpose of the pairs() function in R”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

geom_line(mapping = aes(x = time, y = values)) is the correct answer to “How do you create a time series plot in R for a numeric variable values with corresponding time points time”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

New = T is the correct answer to “Which of the following will be used in fancy plots”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

graphics is the correct answer to “ask=T is a parameter that R asks before producing the . . . . . . . .”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Mar is the correct answer to “The graphical parameter . . . . . . . . defines how many lines appear in each of the four margins.”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

1994 is the correct answer to “In which year Haykin gave a comprehensive survey of neural network techniques from an engineering perspective”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Sample is the correct answer to “Which function is used to simulate discrete uniform random variables”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

axis() is the correct answer to “Which function draws an axis on the current plot”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

New = T is the correct answer to “Which of the following declares the current plot undeclared”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Mean, Variance is the correct answer to “The . . . . . . . . and . . . . . . . . of a discrete random variable is easy to compute at the console.”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Distr is the correct answer to “The . . . . . . . . package has functionality to investigate transformations of univariate distributions.”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.

Fin is the correct answer to “. . . . . . . . gives the length and height of the current figure in inches.”. This question is standard in competitive examination syllabi for Statistical Analysis With R _Distributions_ Graphics.