# READ ALL INSTRUCTIONS #
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# Write the codes and run them to get the correct answers
# You will NOT need to imput the answers into Canvas,
# **Therefore make sure you include detailed answers in the R script as a comment**
# A few questions only require the code, they are labeled as such
# However, any required answers that are missing or lack detail will result in a loss of points
# Any code that is missing will also result in a loss of points
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# install packages if needed first
# call these libraries
library(dplyr)
library(ggplot2)
library(tidyverse)
library(moments)
# Download the data from the link below, it is names ames
# Description of data is given here: https://www.openintro.org/stat/data/ames.php
download.file(“http://www.openintro.org/stat/data/ames.RData”, destfile = “ames.RData”)
load(“ames.RData”)
# 1. Find the names of the variables. (only include code)
# 2. How many observations are there in the data? How many variables?
# 3. attach your data (only include code)
# 4.Find the first 4 rows of the SalePrice column in the ames data matrix. (only include code)
# 5. What is the class of SalePrice?
# 6. What is the class of Heating.QC?
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#Now use SalePrice as your variable.
# 7. What is the average sale price of the houses?
# 8. Find the summary statistics of sale price (only include code)
# 9. Comment on median and mean sale price after running #8. Are they different? Why they might be different? What does it tell you about the data?
# 10. What is the 3rd quantile of the sale price? Explain what does that number mean?
# 11. What is the range of the sale price?
# 12. Get the histogram of the sale price. What do you observe? Comment.
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# Let’s assume the sale price is nearly normally distributed with a mean of $180 thousand and
#standard deviation is $80 thousand.
# 13. What is probability that a house price will be less than $150 thousand?
# 14. What is probability that a house price will be greater than $250 thousand?
# 15. What is the probability that the sale price is between $150,000 and 250,000 ?
# 16. Which sale price is the cutoff value corresponding to top 10% ?
# 17. According to the normal distribution rule, what percentage of the sale price will be in
# 1 standard deviation interval? How about 2 standard deviation interval. (code not required for this question)
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