Answered step by step
Verified Expert Solution
Question
1 Approved Answer
Hello, I have R programming questions. I need your help. Thank you so much. f1. Load the data_wk5.csv into R and save it as d5.
Hello, I have R programming questions.
I need your help.
Thank you so much.
\f1. Load the data_wk5.csv into R and save it as d5. (a) Remove the rst column from d5 and save this, again, as d5 (b) Determine the minimum and maximum values of d5. You do not need to save these but you must show that you printed them out. (0) Use the rounded down (to the nearest Whole number) value of the minimum and the rounded up value of maximum to create a sequence that we Will use to set the breaks for the histogram we will soon be making. Set the by parameter to 2. Name this vector bks (d) Create a histogram of the d5 values and use the bks vector to set the breaks. Give the histogram a colour of your liking. Name the xaxis \"Values\2. This question involves gauging Whether or not a distribution seems normally distributed. (a) (b) (C) Does the histogram created in Question 1 seem normally distributed? Justify your answer. Find the 2.5% and 97.5% quantiles and save them as qlow and qhigh, respectively. As shown in the lecture notes for Chapter 13 Pt 1, use the mean and standard deviation functionns to show that the quantiles you found in 25 justify your answer to 265. Hint: Determine which standard deviations the quantiles you found in 2b correspond to for normally distributed data and write 2 lines of Rcode that represent p. co and n + co, respectively. Note: 0 represents the number of standard deviations from the mean we would expect from normally distributed data corresponding to the 2.5% and 97.5% quantilesStep by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started