Economics 350K: Fall 2007 Problem Set 1 DUE: WEDNESDAY, SEPTEMBER 19 NAME: _ I. The Production of Health
Helen Schneider
1. Use production theory to graphically illustrate the case in which a medica
DESCRIPTIVE STATISTICS
Dr. V.R. Bencivenga
Economics 329
Economic Statistics
DESCRIPTIVE STATISTICSPART 3
Outline
Objectives:
I. Covariance
Methods for describing how the distributions
of two variable
Dr. Valerie R. Bencivenga
Economics 329
Fall 2011
Sept. 28, 2011
MIDTERM EXAM #1
Instructions: Answer the questions below in a blue book. Show your work to receive credit! There are eight
problems wor
Dr. Valerie R. Bencivenga
Economics 329
PRACTICE MIDTERM EXAM #1
Instructions: Answer the questions below in a blue book. The exam consists of ten questions worth a
total of 200 points. The exam will
Practice Questions 2
ECO 329
1. The finishing process on new furniture leaves slight blemishes. The table shown below displays a manager's probability assessment of the number of blemishes in the fi
Practice Questions 1
ECO 329
1. When data are collected in a statistical study for only a portion or subset of all elements of interest we are using A) B) C) D) a sample. A parameter. A statistic. A
Practice Questions 6
QUESTIONS 1 THROUGH 3 ARE BASED ON THE FOLLOWING INFORMATION:
Let X 1 , X 2 , X 3 , and X 4 be a random sample of observations from a population with mean
and variance 2 . Consid
Practice Questions 5 1. Random samples of size 36 are taken from an infinite population whose mean is 80 and standard deviation is 18. The mean and standard error of the sampling distribution of sampl
Practice Test 3
Part 1. Discrete Random Variables
1. Three automobiles are selected at random, and each is categorized as having a diesel ( S) or nondiesel (F)
engine (so outcomes are SSS, SSF, etc.).
Practice Questions 5 1. Random samples of size 36 are taken from an infinite population whose mean is 80 and standard deviation is 18. The mean and standard error of the sampling distribution of sampl
Practice Questions 3 1. Which of the following is an example of a discrete random variable? A) B) C) D) The distance you can drive in a car with a full tank of gas. The number of cows on a cattle ranc
Practice Questions 3 1. Which of the following is an example of a discrete random variable? A) B) C) D) The distance you can drive in a car with a full tank of gas. The number of cows on a cattle ranc
Practice Questions 7 1. You are interested in examining the salaries earned by graduate business school students at the end of the first year after graduation. In particular, you are interested in see
Practice Questions 4 1. The amount of time you have to wait at a particular stoplight is uniformly distributed between zero and two minutes. a. What is the probability that you have to wait more than
Practice Questions 4 1. The amount of time you have to wait at a particular stoplight is uniformly distributed between zero and two minutes. a. What is the probability that you have to wait more than
Dr. Valerie R. Bencivenga
Eco 329 Economic Statistics
May 13, 2017
FINAL EXAM: ANSWERS
1.a.
Confidence interval for the mean of a normal population when the population variance is known
C X zu
X zu
Dr. Valerie R. Bencivenga
Economics 329
PRACTICE HOMEWORK #1A: INTRODUCTION & DESCRIPTIVE STATISTICS
1.
Identify the following variables as continuous or discrete. Which of the discrete variables, if
Dr. Valerie R. Bencivenga
Economics 329
PRACTICE HOMEWORK #1A: ANSWERS
1.a.
b.
c.
d.
e.
discrete
continuous
discrete (dummy)
discrete
continuous (or approximately continuous)
2.a.
b.
Mode. It does not
NAME: _ EID: _
Dr. Valerie R. Bencivenga
Economics 329
April 5, 2016
You must turn in the exam questions at the end of the exam, in addition
to your answers, in order to receive an exam score. Only yo
DESCRIPTIVE STATISTICS
Dr. V.R. Bencivenga
Economics 329
Economic Statistics
DESCRIPTIVE STATISTICSPART 2
Outline
Objectives:
I. Covariance
Methods for describing how the distributions
of two variable
NAME: _ EID: _
Dr. Valerie R. Bencivenga
Economics 329
February 23, 2016
You must turn in the exam questions at the end of the exam, in addition
to your answers, in order to receive an exam score. Onl
DESCRIPTIVE STATISTICS
Dr. V.R. Bencivenga
Economics 329
Economic Statistics
DESCRIPTIVE STATISTICSPART 1
Outline
Introduction
Objectives:
Distribution of a variable
Measures describing how values of
Information that is in a blue box or that is
in [square brackets] is not required for a
full-credit answer.
Dr. Valerie R. Bencivenga
Economics 329
February 23, 2016
MIDTERM EXAM #1: QUESTIONS AND ANS
Dr. Valerie R. Bencivenga
Economics 329
Fall 2015
September 29, 2015
Information in [ ] is not required for a correct
answer. It is included to help students study.
MIDTERM EXAM #1: ANSWERS
1.a.
[Addi
NAME: _ EID: _
Dr. Valerie R. Bencivenga
Economics 329
Oct. 2, 2017
You must return the exam questions along with your blue exam book, or
you will get a zero on the exam. Only your blue exam book will
NAME: _ EID: _
You must return the exam questions along with your blue exam book, or
you will get a zero on the exam. Only your blue exam book will be graded.
Dr. Valerie R. Bencivenga
Economics 329
N
NAME: _ EID: _
Dr. Valerie R. Bencivenga
Eco 329 Economic Statistics
May 13, 2017
You must turn in the questions along with your answers, in order to receive a
score for the exam. If you do not turn i
University of Texas at Austin
Course Outline
Economics 329: ECONOMIC STATISTICS
Spring 2012, Unique number 34265
T, Th 11:00-12:30 (ART 1.102)
Instructor: Dr. Valerie R. Bencivenga
Office: BRB 3.102C
INTRODUCTION
Dr. V.R. Bencivenga
Economics 329
Economic Statistics
2011-12
INTRODUCTION
Outline
I.
Conceptual framework of statistics
Topics of the course
Objectives:
Descriptive statistics vs. statis