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
Chapter 6
TESTS OF HYPOTHESES:
TWO POPULATIONS
Independent Sampling from Two Populations
(pages 482-483)
the selection of the random sample from one population will not affect the selection of the
random sample from the other population
Example: (Exerci
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Chapter 8
SIMPLE LINEAR
REGRESSION ANALYSIS
Correlation Analysis (page 579)
Given: Bivariate data=cfw_(X1,Y1), (X2,Y2), , (Xn,Yn)
Note: Association in bivariate data means a systematic connection
between changes in one variable and changes in the other. I
Chapter 7
CHI-SQUARE TESTS
Chi-square Tests (page 555)
Chi-square tests involve the comparison of the observed frequencies in a
one-way or two-way table with the expected frequencies if the null
hypothesis were true. The test statistic used will follow a
Chapter 9
EXPERIMENTAL
DESIGN
Definition of Terms
Experiment:
a scientific investigation conducted under controlled
conditions where treatments are applied on the experimental
unit and their effects are measured and compared
Experimental unit:
denotes the
Statistics 115
Sample First Exam
I.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
II.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
TGCapistrano
TRUE OR FALSE. Write 'TRUE' if the statement is always true; otherwise, write FALSE.
If A, B, and C are events then P(A B C) = P(A) + P(B) +
STATISTICS 114
SAMPLE FOURTH EXAM
TGCapistrano
I. FILL IN THE BLANKS.
1. The distribution of the data set with the following boxplot
is skewed to the _.
2. In a stem-and-leaf display, if the unit=10 then 3 | 41 represents the value _.
3. Methods used in e
Chapter 10
TIME SERIES ANALYSIS:
SMOOTHING TECHNIQUES
Time Series
Example: Exchange Rate (PhP/US$), 1970-2009
Definition:
A time series is a sequence of n
observations Y1,Y2, ,Yn, on a
process at equally spaced points in
time (e.g., daily, monthly, annual
Chapter 3
Sampling and
Sampling Techniques
Complete Enumeration versus Sampling
In com plete enum eration or a
census , we measure the variable/s of
interest from all the elements of the
population.
In sam pling , we measure the
variable/s of interest fro
Chapter 5
Organization of Data
Definition of Raw Data (page 164)
Definition 5.1.
Raw data are data in their original form.
* Raw data have not been organized in any
manner and
d observations
b
are recorded
d d in
the order observed.
Chapter 5. Organizatio
Chapter 6
Measures of Central
Tendency
Definition of a Summary Measure
(page 185)
A summary measure is a single value
that we compute from a collection of
measurements in order to describe one
off th
the collections
ll ti particular
ti l
characteristics.
Chapter 8
Measures of Dispersion
Definition of
Measures of Dispersion (page 231)
A measure of dispersion is a descriptive summary measure
that helps us characterize the data set in terms of how varied
th observations
the
b
ti
are from
f
each
h other.
th
A
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
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 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 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
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 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 11
Ratios
Definition of Ratios
The ratio of a number x to another number y expresses the
size of one measure x with respect to the size of another
measure y. It is written as x:y and is read as x is to y.
Example:
165 Freshmen
134 Sophomores
97 Ju
Chapter 12
Index Numbers
Definition of Index Numbers
Definition: An index number is a summary measure designed to
show changes in the value of a variable (or more
commonly, a group of related variables taken as whole)
over a period of time, or geographic
STATISTICS 114
Third Exam (SAMPLE EXAM)
I. DEFINITION OF TERMS. Express the definitional formula of the following concepts in terms of
the following notations Population Data=cfw_X1, X2, , XN, Sample Data=cfw_X1, X2, ., Xn and
Sample Array=cfw_X(1), X(2),
STATISTICS 114
SAMPLE FOURTH EXAM
TGCapistrano
I. FILL IN THE BLANKS.
1. The distribution of the data set with the following boxplot
is skewed to the _.
2. In a stem-and-leaf display, if the unit=10 then 3 | 41 represents the value _.
3. Methods used in e
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