Descriptive Statistics
Part I. X is a random variable (w/probability distribution.)
We assume knowledge about X
distribution (parameters)
mean, variance, etc
Part II. Study of sample data (X1, , Xn) under uncertainty/variation
use data to characterize
# Simple linear regression #
data = read.table("drilling_cost.txt",header=TRUE)
depth = data[,1]
cost = data[,2]
# visualize the relationship between cost and depth; is it linear?
plot(depth,cost)
# apply linear regression
model = lm(cost~depth)
summary(m
2028: Basic Statistical Methods
Homework 6
This homework is due Thursday, November 10th in class BEFORE class starts. Late papers
will not be accepted. Please do not turn in any papers to any mailbox.
Please remember to staple if you turn in more than on
2028: Basic Statistical Methods
Homework 5
This homework is due Thursday, Nov. 5 in class BEFORE class starts. Late papers will not
be accepted. Please do not turn in any papers to any mailbox.
Please remember to staple if you turn in more than one page.
Name:
Answer to practice problems from
Midterm
Energy and Environmental Analysis, ISYE 4803F
October 2 2013
N.B. The last page contains some equations and values for your reference.
Honor Code: I have adhered to the Georgia Tech honor code.
1. Cost of res