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Question 1:

Which of the following functions can be used to create a scatter plot in R?

A) hist()

B) boxplot()

C) plot()

D) barplot()

Answer: C) plot()

Explanation:

The function plot() can be used to create scatter plots in R. The hist() function creates histograms, the boxplot() function creates boxplots, and the barplot() function creates bar charts.

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Question 2:

What is the purpose of the function read.csv() in R?

A) To create a scatter plot

B) To read data from a CSV file

C) To create a histogram

D) To create a boxplot

Answer:

B) To read data from a CSV file

Explanation:

The function read.csv() in R is used to read data from a CSV (Comma-Separated Values) file. This function reads the data from the file and stores it in a data frame in R.

It is a commonly used function in data analysis as CSV files are a common format for storing and sharing data. The function does not create scatter plots, histograms, or boxplots.

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Question 3:

Which of the following statements is true about R programming language?

A) R is a general-purpose programming language

B) R is primarily used for web development

C) R is a functional programming language

D) R is a compiled language

Answer:

C) R is a functional programming language

Explanation:

R is a programming language that is primarily used for data analysis and statistical computing. It is a functional programming language, which means that functions are treated as first-class objects and can be passed as arguments to other functions. R is not a general-purpose programming language, as it is designed specifically for data analysis tasks. It is not primarily used for web development, although it can be used for developing web-based data analysis applications. R is an interpreted language, not a compiled language.

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Question 4:

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

A) To create a scatter plot

B) To fit a linear model to data

C) To create a histogram

D) To create a boxplot

Answer:

B) To fit a linear model to data

Explanation:

The function lm() in R is used to fit a linear model to data. Linear regression is a statistical technique that is used to model the relationship between a dependent variable and one or more independent variables. The lm() function takes the form of the linear model equation and the data as input and returns a model object that can be used to make predictions and perform other analyses. The function does not create scatter plots, histograms, or boxplots.

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Question 5:

Which of the following functions can be used to calculate the mean of a vector in R?

A) sum()

B) min()

C) max()

D) mean()

Answer:

D) mean()

Explanation:

The function mean() in R can be used to calculate the mean of a vector, which is the average value of the elements in the vector. The sum() function calculates the sum of the elements in a vector, while the min() and max() functions find the minimum and maximum values in a vector, respectively. However, none of these functions directly calculate the mean of a vector.

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