Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
STATISTICS REVIEW
GUIDE
VOLUME II
BINOMIAL DISTRIBUTION
CONTINUOUS RANDOM VARIABLES
UNIFORM DISTRIBUTION
NORMAL DISTRIBUTION
JOINTLY DISTRIBUTED RANDOM
VARIABLES
KEYSER SOZE
1
Contents
The Binomial Distribution .3
Practice Problems .7
Continuous Random Va
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
STATISTICS
REVIEW GUIDE
VOLUME I
SAMPLES AND GRAPHS
DESCRIPTIVE STATISTICS
CORRELATION AND
COVARIANCE
INTRO TO REGRESSION
BASIC PROBABILITY
DISCRETE RANDOM VARIABLES
KEYSER SOZE
1
Contents
Topic 1: Samples and Graphs .3
Sampling .4
Graphical Analysis .4
T
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104  Roadmap
Data
Intro
Population vs. sample
Parameters vs. statistics
Graphs
Central tendency
Variability
Relative standing
2 variable stats
Basic Probability
Dotplots and Histograms
Descriptive Stats
Marginal prob.
Conditional probability
Laws of
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 6: Due Friday, March 25
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to
type the ho
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 5: Due Friday, March 11
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to
type the ho
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104  Roadmap
Data
Intro
Population vs. sample
Parameters vs. statistics
Graphs
Central tendency
Variability
Relative standing
2 variable stats
Hypothesis Testing
Discrete Distributions
Dotplots and Histograms
Descriptive Stats
Analysis
Inference
Ran
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 4: Due Friday, February 26
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to
type the
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 2: Due Friday, February 12
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to
type the
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 1: Due Friday, February 5
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to
type the
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 10: Due Friday, April 29
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to
type the h
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Handout: Linear Regression
The data set consists of three variables waist (waist size in inches), weight (weight in
pounds) and fat (body fat in %) measured on 20 male subjects. To access the data in Stata
type in the command window:
use http:/www.stat.co
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 7: Due Friday, April 1
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to
type the hom
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 7: Due Friday, April 15
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to type the
ho
Introduction to Quantitative Methods for Economics
STAT 104

Spring 2012
Stat 104: Quantitative Methods for Economics
Homework 3: Due Friday, February 19
Homework policy for campus students: Homework is due by 4:00 pm on the due date.
Homework is to be handed in via the course website in pdf format. You do not need to
type the
Emily Fricke
HUID 51247213
Stat 107: Introduction to Business and Financial Statistics
Homework 1
1)
Figure 5.1
Figure 5.2
Figure 5.3
Emily Fricke
HUID 51247213
Info: The code as in R by example does not work in RStudio. In RStudio the
tolerance has to b
Stat 107: Introduction to Business and Financial Statistics
Homework 1: Due Monday, Sept 12
Homework policy
Homework is due by 8am EST of the assigned date. Homework is to be handed in
electronically via the Canvas system. Late homework will not be accept
www.itebooks.info
R Cookbook
by Paul Teetor
Copyright 2011 Paul Teetor. All rights reserved.
Printed in the United States of America.
Published by OReilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472.
OReilly books may be purchased f
Stat 107: Introduction to Business and Financial Statistics
Homework 2: Due Monday, Sept 19
Homework policy
Homework is due by 8am EST of the assigned date. Homework is to be handed in
electronically via the Canvas system. Late homework will not be accept
R: A selflearn tutorial
1
Introduction
R is a software language for carrying out complicated (and simple) statistical analyses. It includes
routines for data summary and exploration, graphical presentation and data modelling. The aim of
this document is
Questions :
Seven samples were obtained having the values 21, 22, 26, 29, 27, 26 and 24. The mean and
standard deviation values are _? Explain how you arrived at the answer please
Answer :
First, we go to calculate the mean:
So,
1.
Where, n is equal to 7.
Stat S139 Homework 1, Summer 2016
Due Monday, June 27 at 3:15pm, handed into the course website on Canvas through the Assignments section of the website. Be sure to show your work and make sure to give clear, convincing, and
succinct explanations. Incorpo
36
38
40
Poverty
42
44
46
1. Poverty.dta
a) Scatter plot shows that a linear relationship between crime and poverty does not
appear to exist.
5
10
15
20
Crime
b) Rsquared = 0.0586 which is very low
c) H0: 1=0 ; Ha: 10
At the 5% level of significan
1. Surveys:
a. Problem: Sample is biased.
Solution: The store manager could conduct the survey every day for a week at
different times of a day in order to obtain an unbiased sample for the study.
b. Problem: Limited sample size and biased to only one
1. squirtsquad data
a) Regression model: 135.330.0062(squarefeet)+7.6(rooms)5.86(bathrooms)14.03(crew)+22.97(children)4.94(frequency)
b) H0: 1=2=3=4=5=6
Ha: At least one i0
In this regression model, F(6,63) = 16.86 is large si
1. Probabilities of following events: (Assuming that the occurrence of Head and Tail are
independent events)
a) P(H) = 0.55
b) P(TH) = 0.45
c) P(T and T) = 0.2025
d) P(T and H) = 0.2475
e) P[(T and H) or (H and T)] = 0.2475 + 0.2475 = 0.495
f) P
ESE 302
Tony E. Smith
A SUGGESTED PROCEDURE FOR
MULTIPLE REGRESSION ANALYSIS
Given data on a dependent variable Y and set of potential explanatory variables
( X 1 ,., X K ) , the following is a suggested procedure for multiple regression analysis of
this
1. Since the pvalue is very low, the null hypothesis can be strongly rejected and hence the
average weight of popcorn bags is less than 5.5 ounces.
2. Since the pvalue is very large, there is insufficient evidence to reject the null hypothesis
and