Continuous Distributions
Random variables with infinite number of
possible values
Chapter 6
Examples - units of measure (time,
weight, distance)
The Normal Distribution
(and other continuous distributions)
Many discrete outcomes can be treated as
conti

2016-08-31
Introduction of Econ206
Things to know to survive
Beomsoo Kim
How to find me
Office:
MK building 404
T) 3290-2204
kimecon@korea.ac.kr
Office Hour:
Th. 1:30-2:30 pm, and by appointment
Lecture:
T. Th. 10:30pm 11:45 pm
Web page:
http:/sites.googl

Discrete Random Variable
Random variable - outcome is determined
(in part) by chance
Chapter 5 Part II
Discrete Probability Distributions
Discrete random variable - countable
number of outcomes
Question for this section - How to
describe distribution o

Chapter 3 Descriptive Statistics
Discrete Data
Definition simple measures that describe
the distribution of a variable
We typically try to describe
Central tendency
Spread or variation
Two types of data
discrete
continuous
Finite or countable numb

Introduction
Chapters 5/6 - described properties of
random variables
discrete
continuous
Focused on one variable at a time
Doctor visits
Time to failure
Household income
Covariance and Correlation
1
2
Results from this section
Sometimes, we are in

Plot: Height vs. Weight
85
I
Height (in inches)
80
II
75
70
65
60
IV
55
III
50
50
100
150
200
250
Weight (in pounds)
300
350
400
Plot: Smoking vs. Exercise Across States
90
% Exercised in past month
85
80
75
70
65
60
10
15
20
25
30
35
% Current Smoker
1
P

Chapter 3: Introduction to Probability
Theory
What generates probabilities?
Repeated observation
Sex of babies have 4 million birth per
year
Pr(Boy) = 0.52
Pr(Girl) = 0.48
Theory
Pr(Head) = 0.5
Pr(1 on a dice) = 1/6
Frequency - distribution of out