CvSU Vision
CvSU Mission
Republic of the Philippines
CAVITE STATE UNIVERSITY
The premier University in
historic Cavite recognized for
excellence in the development of
globally competitive and morally
upright individual
(CvSU)
Don Severino De Las Alas Campus
Indang, Cavite
OFFICE OF THE GRADUATE SCHOOL
The Cavite State University shall
provide excellent, equitable and
relevant educational opportunities in
arts, sciences and technology through
quality instruction and responsive
research and development activities.
It shall produce professional,
skilled and morally upright individuals
for global competitiveness
COURSE OUTLINE
First Semester, School Year 2018-2019
Instructor
Mr. Antonio V. Cinto
Office Location
Office of the Graduate school
Email Address antoniovalcinto@gmail.com
Office Phone Number
(046) –
Consultation Hours
Course Number
MMGT 202
Course Title
Statistics with Computer Applications
Course Description
Credit Unit
3 units
Credit Hours
Lecture
3 hours
Prerequisite
Consent of Instructor
Materials
Chalk/white boards
Computers/ Statistical Software(s)
Course Objectives
At the end of the course, the students are expected to:
1. realize the significance of statistics in conducting research;
2. gain knowledge on the application of basic statistical concepts, principles and
procedures in collection, organization, analysis and interpretation of data using the
statistical packages;
3. understand the concepts of hypotheses testing, parametric and non-parametric tests,
correlation analysis, and regression analysis;
4. develop skills and strategies in solving statistical problem using the computers.
Core Values
TRUTH is demonstrated by the students’ self-confidence, objectivity and honesty
during examinations, class activities and in the development of projects to be submitted
for the course. EXCELLENCE is exhibited by the students’ punctuality, diligence and
commitment in the assigned tasks, class performance and the kind of projects
submitted by them. SERVICE is manifested by the students’ respect, rapport and
fairness in dealing with their peers and clients.
REFERENCES
DEAUNA, M. C. (1996). Elementary Statistics for Basic Educations.
Phoenix Publishing House, Inc.
Quezon City,
FREUND, J.E. and SIMON, G.A. (1997). Modern Elementary Statistics. 9th Edition.
Prentice-Hall Inc. New Jersey USA.
OSTLE, B. (19 ). Statistics in Research. 2nd Ed. The Iowa State Univ. Press.
PAREL,, C. et.al (1966). Introduction to Statistical Methods(with Applications), Manila
Philippines, Macaraig Publishing Co. Inc.
SEIGEL, S. and CASTELLAN, N.J. (1988).
Sciences.
Nonparametric Statistics for Behavioral
WALPOLE, R.A. (1982) Introduction to Statistics. 3rd Ed. New York, McMillan Publishing
Co. Inc.
Any Statistics Book
Course Content
Number of Hours
A. INTRODUCTION
1.1 Definition of Statistics
1.2 Population and Samples
1.3 Sampling Techniques
1.4 Scales of Measurements
3
B. COLLECTION AND PRESENTATION OF DATA
2.1 Data Collection
2.2 Data Presentation
2.3 Frequency Distribution
2.4 Computer Application
3
C. DESCRIPTIVE STATISTICS
2.1 Measures of Central Tendency
2.2 Measures of Dispersion
2.3 Measures of Symmetry and Skewness
2.4 Measures of Kurtosis
2.5 Computer Application
9
D. NORMAL DISTRIBUTION
4.1 Characteristics of Normal Distribution
4.2 Areas Under the Normal Distribution
4.3 Applications of Normal Distribution
4.4 Computer Application
3
E. HYPOTHESIS TESTING
5.1 Concept of Hypothesis Testing
5.2 Comparing Sample and Population
9
5.3 Comparing Two Samples
5.4 Comparing Three or More Samples
5.5 Computer Applications
F. NONPARAMETRIC TEST
6.1 Chi-square
6.2 Wilcoxon Signed Ranked Test
6.3 Mann-Whitney Test
6.4 Friedman Two-way ANOVA
6.5 Kruskall-Wallis One-way ANOVA
6.6 Computer Applications
9
G. TEST OF ASSOCIATION
7.1 Pearson Product Moment Correlation Coefficient
7.2 Spearman Rank Correlation Coefficient
7.3 Phi Coefficient
7.4 Contingency Coefficient
7.5 Cramer’s V
7.6 Point Biserial Correlation
7.7 Computer Applications
9
H. REGRESSION ANALYSIS
8.1 Simple linear Regression
8.2 Multiple Regression
8.3 Computer Application
6