Statistical Information Statistical Analysis of Variance II Checking ANOVA Checking Assumptions Assumptions
Methods for Communicating Statistical Information Statistical
Confidence Intervals
How confident are we in the estimates we have?
Hypothesis Tes

Cornell University
Spring 2011
Economics 3610: Problem Set 5 Written Questions
Due March 17, 2011
1. Question 12 of Chapter 6 of Text, modified
Suppose consumers at Home have the following demand Q=20-2P. The marginal cost of
production is 2, and there is

Cornell University
Fall 2009
Economics 3610: Problem Set 5
Due 11/6/09
1. Small Country Tariff
Suppose that there is a small country where the demand for a good is q = 11.5 - p and the
supply for the good is q = -6 +2p. The world price is 4.
a. What is th

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Lab 3
Date: 9/24/12
Lab 3 will focus on using R scripts to organize and apply commands. Scripts are
files that contain commands that can be executed in part via high

Cornell University
Fall 2009
Economics 3610: Problem Set 1 Solutions
1. True/False/Explain. For each of the following statements, say whether the statement is true or
false and explain your answer. Please limit your answer to two sentences.
a. In a world

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Homework 3 (25 points)
Name:
Section:
Date:
Objectives:
i.
ii.
iii.
Explore methods for computing probabilities.
Determine how normal a random set of binomial values

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Homework 4
Date: 10/3/12
This weeks homework is based upon the data below which are available on the
course website (scrubber.csv). (Note that it has a header and is

BRTY 3010
Exam 1 Version 1 Fall
Name: _
Date: _
100 Total Points
Lab Section: _
Code of Academic Integrity
Principle
Absolute integrity is expected of every Cornell student in all academic
undertakings. Integrity entails a firm adherence to a set of value

Name:
BTRY 3010 / NTRES 3130 / STSCI 2200
Prelim 2 Fall 2013
100 Total Points
Please post the exam to Blackboard by 11:59 pm Thursday October 31 st
(Halloween!).
Code of Academic Integrity
Principle
Absolute integrity is expected of every Cornell student

Name: Jackie Lewis
Lab Section: 1
BTRY 301 / NTRES 313
Final Exam Fall 2007
Exam is due Wednesday Dec 12 11:30 AM 1198 Comstock
Code of Academic Integrity
Absolute integrity is expected of every Cornell student in all academic
undertakings. Integrity enta

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Homework 6
Date: 10/17/12
As an alternative to the use of fathers height to predict sons height, Galton used the
midparent height; the average of the fathers and mot

Biological Statistics I
BRTY 3010 / NTRES 3130 /STSCI 2200
Fall 4 credits Lecture: T and Th 10:10 - 11:25 Bradfield 101 Labs: M 12:20-1:10, 1:25-2:15, 2:30-3:20, 3:35-4:25 W 2:30-3:20, 3:35-4:25 Mann 30B
Instructor:
Dr. Patrick J. Sullivan 214 Fernow 255-

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Homework 7
Date: 11/5/12
1. (10 points)
A local doctor suspects that there is a seasonal trend in the occurrence of the
common cold. He believes that 40% of the case

Biological Statistics I Biometry 3010 / Natural Resources 3130 / Statistical Science 2200 Homework 2 (25 points total) Name: Solutions Section: Date: Objectives: i. To demonstrate an understanding of basic probability concepts. ii. To straightforwardly ch

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Homework 3
Name:
Section:
Date:
Objectives:
i.
ii.
iii.
Explore methods for computing probabilities.
Determine how normal a random set of binomial values looks.
Unde

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Homework 3 (25 points)
Date: 09/13/12
Objectives:
i.
ii.
iii.
Explore methods for computing probabilities.
Determine how normal a random set of binomial values looks

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Homework 6 Solutions
Name:
Section:
Date:
As an alternative to the use of fathers height to predict sons height, Galton used the
midparent height; the average of the

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Homework 7
Name:
Section:
Date:
1. (10 points)
A local doctor suspects that there is a seasonal trend in the occurrence of the
common cold. He believes that 40% of t

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Lab 6
The vulnerability of inshore environments to contamination due to urban and
industrial expansion in Mombasa is discussed in the paper Metals, petroleum
hydroca

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Lab 7
A study was designed to measure the effect of home environment on academic achievement of
12-year-old students. Because genetic differences may also contribute

Visualizing Data
Devore and Berk Chp 1
Visualizing Quantitative Data,
Tufte E. R., Graphics Press, 2001
Graphical Methods for Data Analysis,
Chambers J., Cleveland, B. Kleiner,
and P. Tukey, Duxbury Press, 1983
Exploratory Data Analysis,
Tukey J., Addison

Biological Statistics I
Biometry 3010 / Natural Resources 3130 / Statistical Science 2200
Lab 9
A sheriffs department wishes to examine how frequently their emergency
helicopter was used during a recent 20-day period, by time of day (Shift 1: 2:00
am 8:00

Zach Baker
BTRY 3010
Lab Section #5
Lab #7
50
60
70
80
90
100
#1.
> Twins=read.csv("Twins.csv")
> boxplot(Twins[,-1],col="orange")
Academic
NonAcademic
There is not much difference between the two sets of children based on this boxplot.
-5
0
5
10
> attach

Zach Baker
BTRY 3010
Lab Section #5
Lab #8
#1.
> diamond=read.table("diamond.txt",header=T)
a) > plot(price~carats,data=diamond)
> with(diamond,lines(supsmu(carats,price),col=2)
Based on the plot and the supsmu line, it looks like a linear model will fit

Bayes Formula
Discrete Probability Distributions
Devore and Berk
Section 2.4 (conditional probability)
Sections 3.1, 3.2, 3.3 (random variables)
Sections 3.5, 3.6, 3.7 (distributions)
We will do more with Bayes later (Sec 14.4)
Conditional probability
A
B

Zach Baker
BTRY 3010
HW #1
#1. The results do show that motorcycle fatalities are incurred by a greater proportion of
younger drivers. The data shows that more than half of the fatalities occurred when the driver
was younger than 30. The other piece of in

Lab 2: Probability
Lab Goals
The purpose of this lab is to gain insight on the following topics:
1.
The for loop in R
2.
Logical statements within the if function in R
3.
The probability of events
4.
Basic properties of probabilities
The for loop i

i-Clicker Test
If you would like to see if your i-clicker will work for
this class, please have it out and ready to go.
BTRY 3010 & STSCI 2200
1
Office Hours This Week
n
n
n
n
n
Today after class
Today at 2:30pm
Tomorrow at 10:30am
Tomorrow at 12pm
Tomorr

On the Submission of Homework
1.
Load the file in as soon as you have access to the
homework.
2.
The TAs are expected only to look at the pdf you
submit on Blackboard. If you want credit for any work
you have done, it MUST be in the pdf.
3.
Check carefull

Probability I
Chapter 5 AOBD
Probability I
BTRY 3010 & STSCI 2200
1
All statistical theory is based on the branch of mathematics
called probability
Properties of random variables
Distribution of random variables
Why? Statistics are random variables
Tod

REEF Polling Test
Please log into your REEF polling
account and have access to it at the
beginning of class today.
Free Statistics Tutoring by peers
Mondays Tuesdays Wednesdays Thursdays
4:30 to 6:30
417 CCC
(Computing and Communications Center)
Enter bui