Cariny Perez
Kevin Mercado
GSI : Ryan Olver
Credico: Outsourced Sales
I.
Introduction:
Credico is an outsourced sales company that works with over forty clients
worldwide. The company has been steadily expanding since its conception in 1991 and
now provid
Answers to Review Exercises
Part I. Design of Experiments
Chapter 2. Observational Studies
1. (a) Too hasty. What about population size?
Comments: Michigan may include the big bad city, but Minnesota has
twice the population of Michigan. The crime rate is
Data and Variables
Gaston Sanchez
Creative Commons Attribution Share-Alike 4.0 International CC BY-SA
Statistics is.
gastonsanchez.com
2
Ordinary use
In ordinary conversations, the word
statistics is used as a term to
indicate a set or collection of
numer
Predictions and Errors in Regression
Intro to Stats, Spring 2017
Prof. Gaston Sanchez
Learning Objectives
Calculating predicted values with the regression method
Looking at the regression residuals
Calculating r.m.s. error for regression
Introduction
I
Measures of Spread
Gaston Sanchez
Creative Commons Attribution Share-Alike 4.0 International CC BY-SA
measures
of center
aka
central tendency
measures
of spread
aka
variation
Summary
Measures
Gaston Sanchez
2
Measures of Spread
3
Looking for a value
that
Regression Line in R
Intro to Stats, Spring 2017
Prof. Gaston Sanchez
Learning Objectives
How to run a regression analysis in R
Getting to know the function lm()
How to add the regression line to a scatter diagram
How to manually compute the slope and int
HW06 - Probability
Stat 20 & 131A, Spring 2017, Prof. Sanchez
Due Mar-2
1) Two cards will be dealt off the top of a well-shuffled deck. You have a choice:
0.5pts
i. To win $1 if the first is a king.
ii. To win $1 if the first is a king and the second is a
The Normal Curve
Intro to Stats, Spring 2017
Prof. Gaston Sanchez
Learning Objectives
Becoming familiar with the normal curve
Intro to the functions dnorm(), pnorm(), and qnorm()
How to find areas under the normal curve using R
Converting values to standa
Probability (part 1)
Gaston Sanchez
Creative Commons Attribution Share-Alike 4.0 International CC BY-SA
Probability Basics
Flip a fair coin
s
e
c
n
a
h
c
e
th
e
r
a
t
Wha
it lands heads?
Possible outcomes when flipping a coin
50%
50%
How do you
know it is
Binomial Probability
Intro to Stats, Spring 2017
Prof. Gaston Sanchez
Learning Objectives
Function factorial()
Function choose()
Getting to know the function dbinom()
Introduction
In this tutorial we cover computational aspects of the topics described
Descriptive Statistics:
Histograms
Gaston Sanchez
Creative Commons Attribution Share-Alike 4.0 International CC BY-SA
2
NBA season 2015-2016
Data file nba_players.csv available in the courses github repository
Gaston Sanchez
3
Some questions
What is the t
Introduction to
Regression
Gaston Sanchez
Creative Commons Attribution Share-Alike 4.0 International CC BY-SA
Motivation
Regression Idea
Summarize the relationship
between X and Y with a linear
equation
Gaston Sanchez
In graphical terms .
Represent a clou
Scatter Diagrams
Intro to Stats, Spring 2017
Prof. Gaston Sanchez
Learning Objectives
How to
Adding
Adding
How to
use plot() to create scatter diagrams
points with points()
lines with abline()
use ggplot() to create scatter diagrams
Introduction
The easie
Measures of Spread
Intro to Stats, Spring 2017
Prof. Gaston Sanchez
Learning Objectives
Becoming familiar with various measures of spread
Intro to the functions range(), IQR(), and sd()
Understand the concept of r.m.s. size of a list of numbers
Be aware o
Regression Errors
Gaston Sanchez
Creative Commons Attribution Share-Alike 4.0 International CC BY-SA
How accurate is
regression?
2
The regression method
can be used to predict y
from x
dictions will differ
but pre
s
e
lu
a
v
l
a
u
t
c
a
from
Gaston Sanche
Regression Line
Gaston Sanchez
Creative Commons Attribution Share-Alike 4.0 International CC BY-SA
Regression Line
2
Fitting a line between
X and Y
Gaston Sanchez
3
Fitting a line
which is the best line?
4
How to find the
best fitting line?
Gaston Sanchez
Summary Statistics, Ch 4-5
average (or mean) = sum of entries / number of entries
SD = rms of deviations from average
SU = (value - average)/SD
Correlation and Regression, Ch 8-12
r = average of (x in SU)(y in SU)
prediction error = actual value
- predict
Hank Ibser Statistics 20 Spring 2016
The final will be Tuesday, May 10, B-llam, in TWO rooms: Wheeler Auditorium
and 100 Lewis. Minh Nguyen's and Amy Bray's students in 100 Lewis, everyone
else in Wheeler. Please plan to arrive a bit early so we can start
STAT 20
Quiz 1
Prof. Fletcher Ibser
SID:
Full Name:
Circle your section:
201. 9-10am Mihn
202. 10-11am Mihn
203. 10-11am Lindsey
204. 11-12pm Lindsey
205. 12-1pm Preet
206. 1-2pm Preet
207. 2-3pm Pooja
208. 3-4pm Pooja
Answer the questions in the spaces p
Lecture 40
Final review of course
James Sallee
EEP 101/ECON 125
April 28, 2017
James Sallee (EEP 101/ECON 125)
Market efficiency
April 28, 2017
1 / 37
Please fill out the course evaluation. These are important and they
are taken seriously by (a) people ev
Econ 200: Lecture 9
October 27, 2016
0. Learning Catalytics Session: 26244662
1. Pigovian Taxes and Subsidies and Other
Government Solutions
2. Types of Goods
3. Review of Concepts for Exam
When Can Two Wrongs Make a Right?
In chapter 4, we learned that t
Lecture 37
Is there an energy efficiency gap?
James Sallee
EEP 101/ECON 125
April 24, 2017
James Sallee (EEP 101/ECON 125)
Efficiency Gap
April 24, 2017
1 / 22
Recap of last lecture
If consumers undervalue energy efficiency, then markets are not
efficien
Lecture 39
What is the rebound effect?
James Sallee
EEP 101/ECON 125
April 26, 2017
James Sallee (EEP 101/ECON 125)
Rebound Effect
April 26, 2017
1 / 24
Recap of recent lectures
The energy efficiency gap is the observation that many energy
efficiency imp
EFFICIENCY OF MARKETS
ECO 2023
Principles of Microeconomics
Dr. McCaleb
EfficiencyofMarkets
1
TOPIC OUTLINE
I.
Consumer and Producer Surplus
II. Efficiency of Competitive Markets
III. Markets, Prices, and Efficiency
IV. Prices and Markets
V.
Tax Incidence
EEP 162 Problem Set #2
Due in class on April 26, 2017
This problem set is due at the beginning of class on Wednesday, April 26. No late
problem sets will be accepted. You are encouraged to work with others on this problem set,
but everyone must write up t
Spring 2017
Environmental Economics/EEP 101/ECON 125
EEP 101/ECON 125 Environmental Economics:
Problem Set 4
This handout includes the questions for Problem Set 4. Note that the answers need to
be turned in via bCourses, where you will be prompted to ente
What distinguishes a
t-distribution?
What are the conditions for a
t-distribution?
Is the t-distribution (itself) a
normal distribution?
How do you find the degrees of
freedom for a t-distribution?
What is the formula for a onesample statistic?
Is a t-dis
What is included in a 2-way
table?
What would be the null and
alternative hypothesis for a test
of significance that involves a 2way table?
What is a chi-squared statistic?
Expected, and Observed Counts
Null: there is no difference
between the observed an
EEP 100: PROBLEM SET 3
Be sure to write your own name and student ID on the first page of the problem set you
turn in, along with a list of the names of people you studied with. Please list your most
helpful study partner first (you may order your remaini