1. Situation Analysis
a. SWOT analysis
Internal Strengths and Weaknesses: Management, Offerings, Marketing,
Personnel, Finance, Manufacturing, and R & D
External Opportunities and Threats: Consumer/Social, Economic,
Technological, Competitive, and Legal
The following is a list of target audience examples. Your task is to identify what the
bases for segmentation is in each example. Is the segmentation effort Geographic,
Behavioral, Demographic, or Psychographic? There could be more than one correct
answer
Economics 120A
Winter 2016
Dr. Martin Santamaria
Student Name:_
Student ID:_
Assigned Seat: _
Economics 120A 2nd Midterm Examination
Winter Quarter February 22nd, 2016
Instructions:
a. You have 50 minutes to finish your exam. Write your name and ID number
Study guide for Econ 120A
Below you will find a list of all the topics we covered in class. The list is just meant to give you an
idea of the TOPICS that will be included in the final. The best guide for the type of questions
youll be asked is the practic
ECON 120A-Introduction to Statistics
Fall 2016
Instructor:
Martin Santamaria
114 Economics
Email: [email protected]
Office Hours: Tuesday 10am-11am
The course introduces students to the science of statistics, building student skills in the
analysis of
Chapter 9 Hypothesis Testing
Solutions to Extra Problems
1.
Step 1) Formulate Hypothesis
Step 2) Assume null is true and compute test statistic
Step 3) Compare test statistic with the relevant critical value and conclude.
a.
Since
b.
. Since
c.
Since
d.
S
Chapter 9 Hypothesis Testing
1. (Interpreting p-value) A manufacturing process has produced millions of
TV tubes with a mean life of =1200 and a standard deviation = 300
hours. A new process is tried on a sample of 100 tubes, producing an
average
= 1265 h
Chapter 8
Solutions to Even Numbered Problems
8-2
a) A random sample of 100 accounts in a large department-store chain. The mean
balance due was $74, and the standard deviation was $86. Find the 95% confidence
interval for the mean balance due.
= 74 1.96
Economics 120A
Spring 2011
Dr. Maria Cndido
Student Name:_
Student ID:_
Name of Student to your right:_
Name of Student to your left: _
Economics 120A Final Examination
Spring Quarter
June 6th, 2011
Version A
Instructions:
a.
You have three hours to finis
Economics 120A
Spring 2013
Dr. Maria Cndido
Student Name:_
Student ID:_
Assigned Seat: _
Economics 120A Final Examination
Spring Quarter
June 14th, 2013
Version A
Instructions:
a.
You have three hours to finish your exam. Write your name and ID number on
Economics 120A
Spring 2013
Dr. Maria Cndido
Student Name:_
Student ID:_
Seat Assignment: _
Economics 120A 2nd Midterm Examination
Spring Quarter
May 20th, 2013
Version A
Instructions:
a.
You have 80 minutes to finish your midterm. Write your name and ID n
Problem Set 1 - Econometrics 120A
Due Tuesday Oct 6
1. The le GDPC1.xls contains quarterly growth numbers for the US economy between the 1947 and
2011. Download this le from the class Ted. The le contains a column with the level of GDP in
Real Billions of
ECON 120A - SYLLABUS (Fall 2014)
Foster, UCSD, October 19, 2015
Teaching Staff and Consultation Hours
Times
Room
Contact Info
Price Center
Carroll B. Foster
MWF
cfoster @
near
(PhD/Lecturer)
1030-1130 am
mail.ucsd.edu
Tapioca Express
Zhenting Sun (25%)
EC
Ec 120B ECONOMETRICS B
Foster, UCSD
LECTURE NOTES
October 19, 2015
TOPIC 9. MULTIPLE POPULATIONS
A.
Statistical Inference with Multiple Populations
1. The Setting:
a) Consider one random variable X distributed over two or more populations, such as:
X = G
Econ 120A ECONOMETRICS A
Foster, UCSD
LECTURE NOTES
October 19, 2015
TOPIC 3 PROBABILITY
A. Introduction to the Statistical Experiment Paradigm
1. Statistical Experiments:
a) Statistical experiment - a random (stochastic) process that generates one outcom
Econ 120A ECONOMETRICS A
Foster, UCSD
LECTURE NOTES
October 19, 2015
TOPIC 2 DESCRIPTIVE STATISTICS
A. Frequency Distributions, Tables and Graphs
1. Raw Data:
a) Let X = student weight. We have measurements xi, i = 1.22:
b) As raw data, this list is fairl
Econ 120A ECONOMETRICS A
Foster, UCSD
LECTURE NOTES
October 19, 2015
TOPIC 1 PRELIMINARIES
A. Introduction to Statistics
1. What Does "Statistics" Mean?
a) Data base - collection of observations or measurements of variables tabulated and classified to pre
Average Number of Rainy Days
Month
San Diego Seattle
January
7
18
February
6
16
March
7
17
April
4
14
May
2
11
June
1
9
July
0
5
August
1
6
September
1
8
October
2
11
November
5
18
December
6
18
Rain = 1 if it Rains more than 1/2 of a Month
Month
San Dieg
Copyright 2013 Graham Elliott. All Rights Reserved.
Two Random Variables
After mastering univariate random variables and their distributions, the next step is to extend this to
joint distributions. Joint distributions are neccessary for a number of reason
Copyright 2013 Graham Elliott. All Rights Reserved.
Sampling
We are now putting all of the pieces together. Considering each observation xi as an outcome from a random variable Xi , we have that functions g (x1 ; x2 ; :; xn ) are draws from the random var
Copyright 2013 Graham Elliott. All Rights Reserved.
Sampling
We are now putting all of the pieces together. Considering each observation xi as an outcome from a random variable Xi , we have that functions g (x1 ; x2 ; :; xn ) are draws from the random var
Copyright 2013 Graham Elliott. All Rights Reserved.
Probability Distributions
This section is all about how to use ideas of randomness to begin to understand the types of statistics we
would like to compute. The concepts of random variables and their dist
Copyright 2013 Graham Elliott. All Rights Reserved.
Probability Distributions
This section is all about how to use ideas of randomness to begin to understand the types of statistics we
would like to compute. The concepts of random variables and their dist
Copyright 2013 Graham Elliott. All Rights Reserved.
Descriptive/Informal Statistics
This section of the course shows some basic presentations of data. Statistics is really about understanding
the representation, a rst step in this is to understand what (a
Copyright 2013 Graham Elliott. All Rights Reserved.
Descriptive/Informal Statistics
This section of the course shows some basic presentations of data. Statistics is really about understanding
the representation, a rst step in this is to understand what (a
Copyright 2010 Graham Elliott. All Rights Reserved.
Data Generation
The math behind the sampling calculations we did in the last chapter are all wonderful, and help us answer
the questions about whether or not the results are something real or just due to
Midterm Exam 1 - Economics 120a, Winter 2013
Tue-Thurs 5pm Lecture
Question 1 (6 points): At a local tax preparer, they advertise that the average
tax return costs $190 to prepare. Suppose that the standard deviation is 40. In
a sample of 30 returns, you
Midterm Exam 2 - Economics 120a, Winter 2013
Tue-Thurs 3.30 pm Lecture
Question 1 (6 pts). Consider the following joint probability distribution for
random variables X and Y:
XnY 0
1
1
0.2 0.2
2
0.4 0.2
(a) (1 pt) What is the conditional distribution of X