PSTAT 109
Statistics for Economics
Exercise set 3 Solution
1. (a) A and B are not disjoint and not independent.
(b) A and B are not disjoint and not independent.
2. (a) A and B are disjoint but not independent.
(b) A and B are not disjoint and not indepen

PSTAT 109 Winter 2015
Midterm Examination
Solution
Time limit: 50 Minutes
Total Points: 60
The examination contains two pages and 4 questions worth 60 points. Answer all questions
on a blue book.
All work must be clearly shown. When rounding, use at lea

PSTAT 109
Statistics for Economics
Exercise set 1
1. Decide which of the four scales the following measurements belong.
(a) Amount of annual rainfall in Australia.
(b) Time as a continuum.
(c) Time when measured as in the amount of time it takes to do a j

PSTAT 109: Statistics for Economics
April 10, 2014
2.4 Below we have the birth weights of 16 babies, measured in pounds:
9.2
7.4
6.0
7.1
4.2
3.1
8.7
10.0
3.3 7.1 8.0 6.2
10.5 6.8 7.1 7.2
Group the data set into a frequency table according to Sturges Rule,

PSTAT109 Section Assessment Solutions - Week 9
1
According to ABCnews, 20 percent of all cars are silver. A random sample of 140 cars contains
30 silver cars. We want to test ABCnews claim that 20 percent of all cars are silver against the
one-sided alter

PSTAT109 Solutions Manual for Section Quizzes 1 through 4 (TR 5:00-5:50)
1
Quiz 1
1.1
Decide which of the four scales (nominal, ordinal, interval, ratio) do each of the following measurement belong to:
(a) The height of all students in Pstat 109. ratio
(b

PSTAT 109
Statistics for Economics
Exercise set 9
1. The diameter of the ball used for a particular sport should be 5 cm. A sample of
size 20 was taken and diameters are measured. The sample mean was found to be 4.9
cm and the population standard deviatio

PSTAT 109
Statistics for Economics
Exercise set 6 Solution
42
=
2
12
2
1. (a) P (X 4) = P Z
(b) P (X < 1) = P Z
1 .9332 = .0668
02
2
(c) P (0 < X < 3) = P
0.8413) = 0.5328
P (Z 1) = .8413
= P (Z 1.5) = P (Z > 1.5) = 1 P (Z 1.5) =
Z
32
2
= P (1 Z 0.5) =

PSTAT 109
STATISTICS FOR ECONOMICS
Vasudevan Mangalam
Department of Statistics and Applied Probability
University of California, Santa Barbara
Contents
1 Descriptive Statistics
1.1 Understanding Data . . . . . . . . . . . .
1.1.1 Qualitative and Quantitat

TI-83, TI-83 Plus and the TI-84
GRAPHING CALCULATOR MANUAL
James A. Condor
Manatee Community College
to accompany
Introductory Statistics
Sixth Edition
by
Prem S. Mann
Eastern Connecticut State University
JOHN WILEY & SONS, INC.
Contents
Preface
3
1
Intro

Calculus Worksheet for PSTAT 109
Professor Chavez
Instructions: Answer the following four questions. If you are unable to answer any of these
questions correctly, you must review your calculus tools by the beginning of the third week
of classes when we wi

PSTAT 109 - Statistics for Economics
Chapter 8 - Linear Regression
Esteban Chavez
Department of Statistics and Applied Probability
University of California, Santa Barbara
April 20, 2015
Chavez (UCSB)
PSTAT 109 - VIII. Linear Regression
April 20, 2015
1 /

PSTAT 109 - Statistics for Economics
Chapter 6 - Statistical Inference
Esteban Chavez
Department of Statistics and Applied Probability
University of California, Santa Barbara
April 20, 2015
Chavez (UCSB)
PSTAT 109 - VI. Statistical Inference
April 20, 201

PRACTICE EXAM I
PSTAT 109 - Statistics for Economics - Spring 2015
By writing my name and signing below I swear that I have not engaged in any form of
academic dishonesty or cheating.
Name:
Signature:
Section meeting times and TAs name:
You will solve thi

PSTAT 109: Introduction to Excel
PSTAT 109 - Lab Section
Professor Chavez
1
Introduction
In this course, we will at times use Microsoft Excel to aid our statistical analyses. This reference
document focuses on two particular aspects of Excel formulas and

PSTAT 109 - Statistics for Economics
Homework Assignment # 6
Instructions: Homework assignments will not be collected, however, you are encouraged to solve the exercises to practice for quizzes and tests.
Section Quiz #6 will be given during the last 20 m

Syllabus - PSTAT 109 - SPRING 2015
Statistics for Economics
This is an introductory course to probabilistic modeling and statistical inference for students with basic
knowledge of calculus. Topics include descriptive statistical methods, probability theor

PSTAT 109 Statistics for Economics
Exercise set 1 Solution
1. (a) Ratio scale
(b) Interval scale
(c) Ratio scale
(d) Nominal scale
(e) Ratio scale
(f) Interval scale for Celsius and Fahrenheit and Ratio scale for Kelvin
2. (a) Mean = 1
(b) Median = 3 (8th

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 3
Michael M. Nava (UCSB)
Mas Discrete Random Variables
Week 3
1 / 14
Outline
1
Random Variable

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 2
Michael M. Nava (UCSB)
Probability
Week 2
1 / 11
Outline
1
Probability
2
Examples
Michael M.

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 4
Michael M. Nava (UCSB)
Binomial Random Variable
Week 4
1 / 14
Outline
1
Special Discrete RVs

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 4
Michael M. Nava (UCSB)
Continuous Random Variables
Week 4
1 / 15
Outline
1
Random Variables

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 4
Michael M. Nava (UCSB)
Binomial Random Variable
Week 4
1 / 14
Outline
1
Special Discrete RVs

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 3
Michael M. Nava (UCSB)
Discrete Random Variables
Week 3
1/1
Outline
Michael M. Nava (UCSB)
D

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 3
Michael M. Nava (UCSB)
Bayes Method
Week 3
1/9
Outline
1
Bayes Method
2
Examples
Michael M.

PSTAT 109
Fall 2015
Exam 1
10/16/2015
Time Limit: 45 Minutes
Name:
Teaching Assistant
This exam contains 5 pages (including this cover page) and 3 questions.
Total of points is 100.
Do not ask questions during exam. Keep your eyes on your own paper at all

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 5
Michael M. Nava (UCSB)
Continuous Random Variables
Week 5
1 / 24
Outline
1
Random Variables

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 2
Michael M. Nava (UCSB)
Descriptive Statistics
Week 2
1 / 16
Outline
1
Box Plots
2
Mean, Vari

Introduction to Keeping in Safe n Local
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 5
Michael M. Nava (UCSB)
Thee Normal Random Variable
Week 5
1 / 18
Midterm 1
October 21st, Frid

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 1
Michael M. Nava (UCSB)
Syllabus & Types of Data
Week 1
1 / 21
Outline
1
Introduction
2
Types

Introduction to Statistics & Probability
Michael M. Nava
PSTAT 109
Department of Statistics and Applied Probability
University of California, Santa Barbara
Week 2
Michael M. Nava (UCSB)
Probability
Week 2
1 / 12
Outline
1
Big Picture
2
Probability
Michael