MA. AVA SHAIRA A. DELA CRUZ
Using SPSS
Data Encoded:
Syntax
(Code):
UNIANOVA
Observatio
n BY
MaterialTy
pe
Output:
Between-Subjects Factors
N
1
12
Material Type 2
12
Temperature
3
15
12
12
70
12
125
12
Tests of Between-Subjects Effects
Dependent Variable:
One Population Case
Josefina V. Almeda
College Secretary/Asst. Prof. 7
School of Statistics
UP Diliman
2016
1
Table 1. Tests Concerning the Population Mean
Ho: = o
(where o is a specified hypothesized value of the population mean)
Test Statistic
Ha
Region
Two Population Case
Josefina V. Almeda
College Secretary/Asst. Prof. 7
School of Statistics
UP Diliman
2016
1
Testing the Difference Between
Two Population Means
Sample of
Size n1
Sample of
Size n2
Sample mean 1
Sample s.d.= s1
Sample mean=2
Sample s.d.=
INFERENTIAL STATISTICS
INTRODUCTION TO
HYPOTHESIS TESTING
1
Josefina V. Almeda
College Secretary/Asst. Prof. 7
School of Statistics
UP Diliman
2016
OUTLINE
Basic Concepts in Hypothesis Testing
Null and Alternative Hypotheses
Two Types of Errors
Types of
STAT 115 : INTRO TO EXPERIMENTAL
DESIGN
Science answers questions with experiments
1
DEFINE THE PROBLEM
Begin by asking a question about your
topic
What is a good question for an
experiment?
One that is testable with the materials at
hand
2
Now we need a
Chapter 4
ESTIMATION:
TWO POPULATIONS
Parameters of Interest
(pages 482, 487, 489)
Objective: compare the means of two populations
1.
Population 1: mean Parameter of interest:
Interpretation:
2.
X X -
X
X
Population 2: mean -
Y=
0: means of the two popula
Stat 115: Introduction to Linear
Regression and Correlation
Analysis
Josefina V. Almeda
College Secretary/Asst. Prof. 7
School of Statistics
UP Diliman
2016
1
Objectives
After this, you should be able to:
Calculate and interpret the simple correlation
bet
Chapter 2
SAMPLING
DISTRIBUTIONS
Two Definitions of Random Sample
Random sample from a finite population (page 381)
Random sample from an infinite population (page382)
Chapter 2. Sampling Distribution
Random Sample from a Finite Population
(page 381)
De
Chapter 3
ESTIMATION:
SINGLE POPULATION
Two Methods of Inference About a Parameter
(page 437)
Estimation inference about a parameter is made
by finding a single value or a range of values
computed from the sample data that may be used to
make a statement
INFERENTIAL STATISTICS ESTIMATION
1
Josefina V. Almeda
College Secretary/Asst. Prof. 7
School of Statistics
UP Diliman
2016
LEARNING OBJECTIVES
After the lesson on Estimation, the students
should be able to
Identify the two areas of Inferential Statistics
Introduction to Time Series
Analysis and Forecasting
Michael Daniel C. Lucagbo
[email protected]
School of Statistics, UP Diliman
Lecture for Stat 115 students under Prof. Josefina V. Almeda
May 17, 2016
Source: Rappler.com
Nature of Time Series
Time Se
Stat 115: Chi-Square Test of
Independence
Josefina V. Almeda
College Secretary/Asst. Prof.7
School of Statistics
UP Diliman
2016
1
Test of Independence
In a test of independence for a contingency table, we test
the null hypothesis that the two attributes
MA. AVA SHAIRA A. DELA CRUZ
B.S. in STAT IV
STAT 130
MA. AVA SHAIRA A. DELA CRUZ
B.S. in STAT IV
STAT 130
The analysis of variance shown is shown in the table above, using alpha = 0.05, the critical value of F is
F0.05,3,9 =3.86. Because 14.44 > 3.86, we
MA. AVA SHAIRA A. DELA CRUZ
BS in STAT IV
STAT 140: Time Series Analysis and Forecasting
LAB 2: Unemployment of Male Workers 15 - 49 Years Old in Iloilo City
Figure 1.1. Sequence Chart
no log transform, no difference
Figure 1.2. Sequence Chart
with log tr
1. RAW DATA (NO LOG TRANSFORM,NO DIFFERENCE)
FIGURE 1.1 Sequence Chart of Raw Data
In figure 1.1, the number of unemployed male workers
from January 1990 to December 2014 doesnt fluctuate
around the mean, thus, raw data follows a nonstationary
process.
FI
Statistics 115
BASIC STATISTICAL
METHODS
Course Objectives
The major objective of this course is simply to introduce the basic principles of Inferential Statistics. In order
to enlighten the student on these basic principles, selected elementary tools in