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In R, there is a data set called mtcars which has engine cylinders, miles per gallon, horsepower, weight (in thousands of lbs), and several other numeric descriptions for different cars released in 1974. a. Write the R code to create a histogram for the mpg of all cars in this data set. HOWEVER, you should use a bin size of 2.5 (not the default bin size). Upload an image file of the histogram for your answer. Choose File No file chosen b. Use R to create a side-by-side boxplot that shows the different distribution of mpg based on the number of cylinders for the car model. Upload an image file of the histogram for your answer. Choose File No file chosen c. Describe the conclusions you can draw from the boxplot in part b d. Write a line or two of R code that would sample 4 random rows from the table, but only from the cars that have horsepower > 100 and wt< 4 (4,000lbs) e. Using set.seed (856), list (comma separated) the names of the 4 cars that are returned from your sampling

In R, there is a data set called mtcars which has engine cylinders, miles per gallon, horsepower, weight (in thousands of lbs), and several other numeric descriptions for different cars released in 1974. a. Write the R code to create a histogram for the mpg of all cars in this data set. HOWEVER, you should use a bin size of 2.5 (not the default bin size). Upload an image file of the histogram for your answer. Choose File No file chosen b. Use R to create a side-by-side boxplot that shows the different distribution of mpg based on the number of cylinders for the car model. Upload an image file of the histogram for your answer. Choose File No file chosen c. Describe the conclusions you can draw from the boxplot in part b d. Write a line or two of R code that would sample 4 random rows from the table, but only from the cars that have horsepower > 100 and wt< 4 (4,000lbs) e. Using set.seed (856), list (comma separated) the names of the 4 cars that are returned from your sampling

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Please answer them in R thank you.  

In R, there is a data set called "mtcars" which has engine cylinders, miles per gallon, horsepower, weight (in thousands of lbs), and several other numeric descriptions for different cars released in 1974. a. Write the R code to create a histogram for the mpg of all cars in this data set. HOWEVER, you should use a bin size of 2.5 (not the default bin size). Upload an image file of the histogram for your answer. Choose File No file chosen b. Use R to create a side-by-side boxplot that shows the different distribution of mpg based on the number of cylinders for the car model. Upload an image file of the histogram for your answer. Choose File No file chosen c. Describe the conclusions you can draw from the boxplot in part b d. Write a line or two of R code that would sample 4 random rows from the table, but only from the cars that have horsepower > 100 and wt< 4 (4,000lbs) e. Using set.seed (856), list (comma separated) the names of the 4 cars that are returned from your sampling of d, in the order they are returned.
Transcribed Image Text:In R, there is a data set called "mtcars" which has engine cylinders, miles per gallon, horsepower, weight (in thousands of lbs), and several other numeric descriptions for different cars released in 1974. a. Write the R code to create a histogram for the mpg of all cars in this data set. HOWEVER, you should use a bin size of 2.5 (not the default bin size). Upload an image file of the histogram for your answer. Choose File No file chosen b. Use R to create a side-by-side boxplot that shows the different distribution of mpg based on the number of cylinders for the car model. Upload an image file of the histogram for your answer. Choose File No file chosen c. Describe the conclusions you can draw from the boxplot in part b d. Write a line or two of R code that would sample 4 random rows from the table, but only from the cars that have horsepower > 100 and wt< 4 (4,000lbs) e. Using set.seed (856), list (comma separated) the names of the 4 cars that are returned from your sampling of d, in the order they are returned.
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