Measures of
Dispersion
n
Which student is more consistent in his
scores?
Exam 1 Exam 2 Exam 3 Exam 4 Exam 5 Average
Student
A
Student
B
90
91
89
91
89
90
95
85
90
92
88
90
n
Consider the following measurements, in
liters, for two samples of orange juice
b
NOTES
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'
'
($ &
*
!
"
#
$
%
Definition. Statistical inference comprises
those methods concerned with the analysis of
a portion of a set of observations under study in
order to draw generalizations, predictions and
conclusions regarding the entire set of
Propositional Logic
CSE 191, Class Note 01
Propositional Logic
Computer Sci & Eng Dept
SUNY Buffalo
c Xin He (University at Buffalo)
CSE 191 Discrete Structures
1 / 37
Discrete Mathematics
What is Discrete Mathematics?
In Math 141-142, you learn continuou
Stat101 Sample Long Exam No. 3 Questions
GENERAL INSTRUCTIONS: (Please read carefully. Every infraction of these rules will merit a
five-point deduction on your raw score, except where a different penalty is indicated.)
Use only blue or black ballpoint pe
Stat101 Homework
To be solved by pairs (you and your homework partner)
Due Date: during class time on Wednesday, September 26, 2012
Homework submitted after the deadline will be accepted but only until 10:00am on Friday,
September 28, 2012, subject to a 2
Stat101 Sample Long Exam No. 2 Questions
GENERAL INSTRUCTIONS: (Please read carefully. Every infraction of these rules will merit a
five-point deduction on your raw score, except where a different penalty is indicated.)
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CHAPTER 8
Estimation
Statistical Inference
Methods by which one uses sample information to make
inferences or generalizations about a population
Two areas
Estimation
Point
Interval
Density
Hypothesis testing
BASIC CONCEPTS
Point Estimation
Estimator. Any
Chapter 4
Presentation of Data
Methods of Data Presentation
Textual presentation (page 117): incorporates
important figures in a paragraph of text
Tabular presentation (page 120): arranges figures
in a systematic manner in rows and columns
Graphical prese
Chapter 2
Collection of Data
Definition of Measurement (page 21)
Definition 2.1.
M easurem ent is the process of determining
the value or label of the variable based on
what has been observed.
Chapter 2. Collection of Data
Example (page 21)
Variable: Educ
Chapter 9
Measures of Skewness
And Kurtosis
Symmetric vs Skewed Distribution
(page 260)
Definition 9.1
If it is possible to divide the histogram at the center into two
identical halves, wherein each half is a mirror image of the
other, then it is called a
Chapter 7
Measures of Location
Definition of
Measures of Location (page 219)
A measure of location provides information
on the percentage of observations in the
collection whose values are less than or equal
to it. It indicates the relative position of an
Quantitative Business Analysis
(QBA)
I. Lindner and J.R. van den Brink
Q tit ti Business
Quantitative
B i
Analysis
A l i
Dates lectures:
October 31, November 7, 14, 21, 28,
December 5
Time: 11:00-12:45,
Ti
11 00 12 45
Location: WN-KC 137
Quantitative Meth
University of the Philippines - Diliman
School of Statistics
Stat101 Project Guidelines
The project paper is intended for students to gain first-hand experience in the conduct of real-life basic
research and the use of statistical tools and techniques for
Stat101 Sample Long Exam No. 1 Questions
GENERAL INSTRUCTIONS: (Please read carefully. Every infraction of these rules will merit a
five-point deduction on your raw score, except where a different penalty is indicated.)
Use only blue or black ballpoint pe
STAT101 Take Home Quiz
Due date: on or before 11:30am Monday, October 8, 2012
Quizzes must be submitted on time and late submissions will not be accepted.
Show complete manual solutions on short clean bond paper written in blue or black
ink only. If you a
Number
Firm
Sample
1 Alaska Airlines
2 Alcoa
3 Ashland
4 Bank of America
5 BellSouth
6 Chevron
7 Citigroup
8 Clorox
9 Delta Air Lines
10 Disney
11 DuPont
12 Exxon Mobil
13 General Dynamics
14 General Electric
15 General Mills
16 Halliburton
17 IBM
18 Kell
Section 6.1
Summation
The Summation Notation (page 186)
n
X X X
i
1
2
. Xn
i1
where (capital
p
Greek letter sigma)
g ) is the summation notation
X i is the value of the variable for the ith observation
(the expression to the right of is the term of the su
Chapter 10
Exploratory Data Analysis
Definition of
Exploratory Data Analysis (page 410)
Definition 12.1.
Exploratory data analysis (EDA) is a subfield of applied
statistics that is concerned with the investigation of the
collected or transformed data to r
Chapter 5
TEST OF HYPOTHESES:
SINGLE POPULATION
Definition of Statistical Hypothesis
(page 511)
Definition 15.1.
A statistical hypothesis is a conjecture concerning one or more populations
whose veracity can be established using sample data. The null hypo
Stat 136
First Exam Reviewer
Y = X
nx 1 nxp px 1+
nx 1
Classical Assumptions
E ( i ) =0 i
Var ( i ) = 2 i
Cov ( i , j )=0 i j
Normal Error Model Assumptions
i NID ( 0, 2 ) i=1,2,3, , n
2
N n ( 0 , I ) (multivariate counterpart )
Independent Variables
-p
Statistics 101
Chapter 1: Introduction
1.1 Nature of Statistics
Statistics is the branch of science that deals with the collection, organization, analysis, interpretation and
presentation of data. It plays an important role in almost all fields of interes
Statistics 101
Chapter 2: Collection and Presentation of Data
2.1 Preliminaries
Steps in a Statistical Inquiry
1. Define the problem.
Identify research objectives
Define hypothesis/hypotheses
2. Formulate the research design.
What is my population?
Wi
Statistics 101
Chapter 2: Collection and Presentation of Data (Part III)
Once we have collected the data, we may first summarize them in order to see some features. We can see
the range of values, areas of concentration, shape of the data distribution, an