Stats Assignment #4
Spencer Bull
7367360
ADM 2304 R
Due: April 10, 2015
Individual Assignment:
By signing this Statement, I am attesting to the fact that I have reviewed the entirety of my
attached work and that I have applied all the appropriate rules of
Economics 141 (Intro to Econometrics)
Spring 2001
Professor Yang
Answers to Midterm Test No. 1
1. Consider a regression model of relating Y (the dependent variable) to X (the independent
variable) Yi = 0 + 1Xi+ i where i is the stochastic or error term. S
Lecture 4: Asset Pricing Models
2014
1
Learning Objectives
The Capital Market Line
Components of risk
The Security Market Line
Beta and the market model revisited
Factor models
Arbitrage Pricing Theory
2
The Capital Market Line
To understand how ass
Stat 230 Week 5
Professor Todd Kuffner
Reminder
I
Quiz 1 in class on Tuesday 20th March in class
I
no calculators
I
formula sheet from Chapter 5
I
quiz will cover everything up to and including lecture on
Thursday 15th March
Chebyshevs Theorem
Let denote
Stat 230 Week 11
Professor Todd Kuffner
Example
This week
I
Chapter 9 (except 9.6, 9.7 9.9 and 9.14)
I
reminder: no class on Tuesday 1st May (public holiday),
Tuesday 8th May or Thursday 10th May
Chapter 9
I
Estimation
I
Estimating means and variances
I
C
Stat 230 Week 4
Professor Todd Kuffner
Exercise 3.1
Classify the following random variables as discrete or continuous.
discrete the number of automobile accidents per year in one
city
continuous the length of time it takes to play 18 holes of golf
continu
Stat 230 Week 8
Professor Todd Kuffner
Example
This week
I
finish Chapter 6
I
Chapter 7
I
begin Chapter 8
I
Quiz 2 on Thursday 19th April in class (chapters 6-8)
I
if time permits we will review on 17th April
Gamma Functions
The gamma function is defined
Stat 230 Week 3
Professor Todd Kuffner
Question 2.33
If a multiple-choice test consists of 5 questions, each with 4
possible answers of which only 1 is correct,
a in how many different ways can a student check off
one answer to each question?
b in how man
Stat 230 Week 1
Professor Todd Kuffner
Course Details and Procedures
I
Attendance Policy
I
Assessment
Homeworks:
Quizzes:
Exam:
Absences:
Regularly assigned but not collected
2 quizzes worth 30% each
Cumulative final exam worth 40%
Distribution of weights
Stat 230 Week 12
Professor Todd Kuffner
Example
This week
I
finish Chapter 9 (except 9.6, 9.9 and 9.14), Chapter 10
sections 10.1-10.4
I
reminder: no class on Tuesday 8th May or Thursday 10th May
Two Samples: The difference between two proportions
Suppose
Stat 230 Week 9
Professor Todd Kuffner
Example
This week
I
Chapter 8
I
Quiz 2 on Thursday 19th April in class (chapters 6-8)
I
review on Tuesday 17th April
Chapter 8
I
Random Sampling
I
Sample Moments
I
Sampling Distributions
I
The Central Limit Theorem
I
Stat 230 Week 7
Professor Todd Kuffner
Example
We will introduce the most commonly used continuous probability
distributions
I
Uniform
I
Normal
I
Gamma
I
Exponential
I
Chi-Squared
I
Beta
I
Log-normal
I
Weibull
The Uniform Distribution
The continuous unifo
Stat 230 Week 2
Professor Todd Kuffner
Slight Detour
How have we been thinking about probability so far?
I
We have thus far been dealing with outcomes from an
experiment that are all equally likely
I
The experiment was to choose some subset of outcomes at
Stats Assignment #3
Spencer Bull
7367360
March 25, 2015
Personal Ethics Statement
Individual Assignment:
By signing this Statement, I am attesting to the fact that I have reviewed the entirety of my
attached work and that I have applied all the appropriat
import java.io.*;
import java.util.Scanner;
import java.awt.event.*;
import javax.swing.*;
import java.awt.*;
public class Game extends JFrame implements ActionListener cfw_
/create a GUI which shows the button Enter.
private JDialog place = new JDialog()