Ebay
type: Public
traded as NASDAQ: EBAY, NASDAQ-100 COMPONENT S&P 500 COMPONENT
Founded sept 3, 1995, 20 years as an active business
Headquarters: 2145 Hamilton Ave. Sa Jose California 95125 U.S.
Founder Pierre Omidyar
Chairman Thomas J. Tierney
Ceo De
Eco 336 Spring 2015
Homework Chapter 2
Santerre (Textbook) Chapter 2
1.
Draw a typical production function between medical care and health. Indicate on the graph,
where you think a country such as the United States would be on the curve. Where do you thin
Eco 336 Spring 2016
Homework Chapter 1
Submit through Canvas
1. Using Health United States 2014 (see link, below), complete the Fun Facts worksheet.
2. Using Health United States 2014 make up two additional questions (with answers) that you find
particula
Eco 336 Spring 2016
Homework Chapter 1
Submit through Canvas
1. Using Health United States 2014 (see link, below), complete the Fun Facts worksheet.
2. Using Health United States 2014 make up two additional questions (with answers) that you find
particula
Eco 336 Spring 2015
Homework Chapter 4
Santerre (Textbook) Chapter 4
1. What is meant by the agency problem or the principal-agent problem? How does this relate
to health economics? When people use their authority over someone (the agent) else. Its like a
Eco 336 Spring 2016
Homework Chapter 6
Santerre (Textbook) Chapter 6
1. Suppose Moe faces the following individual loss distribution:
Probability of Loss
.7
.2
.1
Amount of Loss
$0
$40
$60
Determine the expected loss, standard deviation, and variance that
Econ 101 Summer 2012
Exam 1 Professor Kelly
Name: _
Section Day and Time: _
On this exam it is important that you show your work to get FULL
CREDIT.
On this exam you should write any verbal answer using standard
English grammar: that is, please write in c
Eco 336 Spring 2015
Homework Chapters 5
Santerre (Textbook) Chapter 5
1.
Use a graph to illustrate how the following changes would affect the demand curve for inpatient
services at a hospital in a large city.
a. Average real income in the community increa
Eco 336 Spring 2015
Homework Chapters 5
Santerre (Textbook) Chapter 5
1.
Use a graph to illustrate how the following changes would affect the demand curve for inpatient
services at a hospital in a large city.
a. Average real income in the community increa
The Emergency
Room
What is the Emergency Room?
A hospital department providing immediate treatment for acute illness and trauma.
It takes patients in without prior appointments.
It is required by law to stabilize any patient that comes in who is in critic
Name of Speaker: Patrick Davish
Sector of the Health Care Industry: Merck Pharmaceutical Company
Position within that Sector: Associate Vice President of Global Marketing
Address the following points:
Identify how the firm fits into its sector of the heal
Name of Speaker: Scott Evan Eder
Sector of the Health Care Industry: OBGYN
Position within that Sector: M.D., F.A.C.O.G., F.A.C.S.
Address the following points:
Identify how the firm fits into its sector of the health care system.
The firm fits into its s
Name of Speaker: Scott Evan Eder
Sector of the Health Care Industry: OBGYN
Position within that Sector: M.D., F.A.C.O.G., F.A.C.S.
Address the following points:
Identify how the firm fits into its sector of the health care system.
The firm fits into its s
Probability - The Basics
Repetitive operation experiment Outcome in unknown in advance Set of all possible outcomes is known
Sample Space is SET of all Possible Outcomes, S
ex) experiment: flip a coin
S=cfw_h, t
ex) experiment: machine fills a 12 ounce ca
Point and Interval Estimates
Goal: Estimate the parameter of a distribution ex: Estimate from a Normal distribution ex: Estimate p from a Binomial distribution Steps: 1. Collect a random sample of size n 2. Compute estimate of the parameter 3. Identify th
Sample Averages
Xi, i = 1.n independent identically distributed (iid) random variables from a population with mean and standard deviation Sample Average is a random variable! r.v.
X= X1 + . . . . + X n n
The mean and variance of the average 1 1 E( X ) =
Mean and Variance of a Linear Function of n independent random variables
Given: Xi, i = 1.n, independent random variables E(Xi), V(Xi) i=1.n Linear function Y = c 0 + c 1 X 1 + . . . .+ c n X n The mean and variance of Y: E( Y ) = c 0 + c 1 E( X 1 )+ . .
Joint Distributions for Discrete R.V.
Consider 2 Discrete r.v. 's r.v. X with possible values x = x1, x2, . r.v. Y with possible values y = y1, y2, . The joint distribution function is a list of outcomes of X and Y: (x1, y1), (x1, y2), (x1, y3), (x2, y1)
Exponential Distribution
Exponential r.v. X with rate : x0 pdf: f ( x ) = e x x0 cdf: F ( x ) = 1 e x moments: E(X)=1/ V(X)=1/2
The Memoryless Property
A component has an exponentially distributed lifetime, X, with mean 10 hours. f ( x ) = .1e .1x x0 P(
The Normal Distribution
A continuous normal r.v. X has probability density function f (x ) = 1 e 2
( x) 2
2 2
<x<
parameters: -< and >0. E(X)= and V(X)=2
Normal Distribution
f(x)
x
When Does the Normal Distribution Arise
Measurement is subject to source
Expected Value of a Continuous Random Variable
The expected value or mean of a continuous random variable with density f(x) is E( X ) = =
xf ( x)dx
x 0.
ex: Find E(X) given f ( x ) = e x E( X ) =
0
x 0 dx + xe x dx =
0
e x 1 1 x x xe e dx = 0 = ( 1) = 0
Continuous Random Variables
r.v. X = lifetime of a battery number of observations = 50 number of categories in histogram = 9 interval size 1.0
.3 Freq .2 .1
lifetime in 100-hrs
Function f(x)=.5e-.5x fits the histogram, sort of. From histogram, add block
Use the Law of Total Probability to Solve Problems
A company orders boxes of 10 machined parts from two suppliers. Supplier 1 supplies 70 percent and has defective rate .03. Supplier 2 supplies 30 percent and has defective rate .05. Find the probability
Three Commonly Used Probability Distributions for Discrete Random Variables
Dist Binomial
Random Var. r.v. X = number of successes in n independent trials r.v. X = number of failures until first success r.v. X = number of events in the interval
Possible V
FUNCTION OF A DISCRETE R.V.
r.v. X= number of defects on a part. Here is prob dist of X: x 012 f(x) .3 .5 .2
In each example, r.v. C = cost Give function c=h(x) and prob dist of C.
Ex) The cost per unit is $2 per defect. Ex) The cost is $3 to check a unit
Poisson Distribution
r.v. X = number of events in an interval Probability Distribution Function:
e x f ( x) = P ( X = x) = x!
0,1, .
Parameter: = E(no. of events in interval) Mean and Variance: E( X ) = V(X ) =
Examples
r.v. X = number of defects (not