Studies in Statistics for Economists
Assignment 1 (Due by April 12)
Spring 2016
J.Y.Kim
1. Suppose X and Y are random variables on (, F , P) and let A F . Show that if we let
Z ( ) = X ( ) for A and Z
Chapter 4
A First Look at Bivariate Data
4.1 Graphical representation
So far we have looked at a single variable or what is known as univariate data and their descriptive and numerical summaries. We n
Chapter 3
Numerical Descriptive Techniques
Descriptive statistics consists not only of graphical summaries, but also numerical methods. Since we have introduced the histogram in the last chapter, the
Chapter 2
The Graphical Representation of Data
2.1 The Histogram
Todays world has been described as the information age, and one of its peculiar characteristics is the abundance of data. Data in their
Chapter 1
What is Statistics?
1.1 Introduction
Simply put, statistics is a way of getting information from data. Data can be regarded as facts, and we shall especially be concerned with numerical fact
Chapter 5
Controlled Experiments and Observational Studies
It is useful to distinguish between controlled experiments and observational studies. In many experiments, for example, often an investigator
Chapter 6
The Normal Distribution
The Gaussian distribution, which we have mentioned a number of times already, is perhaps the most common and most important of the continuous distributions treated in
Chapter 7
Elementary Probability
In this chapter we will introduce the basics of probability needed to understand statistical concepts and ideas. The literature identies three denitions of probability
Studies in Economic Statistics
Assignment 3
Due: June 02 (Thu) 11:59 pm
Spring 2016
J.Y.Kim
1. Let X1 , ., Xn be i.i.d. sample from Beta(, 1) distribution.
f X ( x; ) = x 1 , 0 < x < 1, 0 < <
(a) Fin
Studies in Economic Statistics
Assignment 2
Due Date : 02/May/2016 11:59 pm
Spring 2016
J.Y.Kim
1. Let X1 and X2 be two random variables such that the conditional distributions and means
exist. Show t
Interval Estimation
Kim, Jae-Young
Seoul National University
Department of Economics
Spring 2015
Kim, Jae-Young (SNU Econ)
Interval Estimation
Spring 2015
1/1
Outline
Kim, Jae-Young (SNU Econ)
Interva
Chapter 12
The Accuracy of Percentages
Reasonably, a politician would participate in an election only if (s)he has a chance of winning. Assume a village has 100,000 eligible voters. A student is then
Chapter 11
Chance Errors in Samples
11.1 Percentages
A health study is done on a representative cross section of 4,738 adults. The researcher can sample, say, only 100 of them. Our question is whether
Chapter 10
The Expected Value and Standard Error
This chapter introduces us to the very important concepts of random processes and their sampling distributions. To keep ideas manageable, it is best mo
Chapter 9
Continuous Probability Distributions
In contrast to a discrete random variable, a continuous random variable is one that can assume an uncountable number of values, i.e we cannot list the po
Chapter 8
Discrete Probability Distributions
We begin by dening a random variable. A random variable is a function or rule that assigns a number to each outcome of an experiment. Instead of talking ab
Revision for Mid-term
(Please do not distribute) Q estion u Of all the households in the U 40 have a plas a T and 50 K, % mV % have a laptop co p m uter. There are 25 of households that have % both a
Try these
Please do not distribute
#1
The number of errors, X, on each page of a 200 pages book was monitored. The results when summarized showed that: X = 920 and X2 = 5032 Calculate the mean and th