Course Syllabus

COURSE CODE

COURSE NAME

MATH 006B

STATISTICAL ANALYSIS WITH SOFTWARE APPLICATION

CREDITS

CONTACT HOURS

3 units

3 hours lecture

INSTRUCTOR

PAULO NOEL MAZO, DBA

TEXTBOOK

Introductory to Business Statistics by OpenStax, Retrieved from https://openstax.org

OTHER SUPPLEMENTAL MATERIALS

Tamhane, A. C. and Dunlop, D. D, Statistics and Data Analysis: From Elementary to Intermediate. Prentice Hall: Upper Saddle River, NJ. ISBN: 0-1374-4426-5.

Dalgaard, P. (2008) Introductory Statistics with R. Springer Science and Business Media. ISBN: 978-0-387-79053-4.

Brian S. Everitt and Torsten Hothorn , A Handbook of Statistical Analyses Using R,. Chapman & Hall/CRC. ISBN 978-1-4200-7933-3

W.H. Freeman ,The Basic practice of statistics, David S. Moore 2nd ed. ,

SPECIFIC COURSE INFORMATION

a. Course Description

This course is designed to Provides fundamentals of probability and statistics for data analytics.  The course not only introduces the concepts and techniques related to statistical analysis, but also practices the use of the software application for data analysis.  In short, this is a course where the basic concepts of statistical analysis are learned and where these concepts are worked out through practical cases and applied to the analysis of various datasets with the help of the software application.

b. Prerequisites

    Co-requisites

GEC 004

c. Course Classification (Required/elective/

     selected elective)

 Required

SPECIFIC GOALS FOR THE COURSE

a. Course Objective

This course aims to let the students:

·         provide students with pragmatic tools for assessing statistical claims and conducting their own statistical analyses;

·         demonstrate their knowledge of the basics of inferential statistics by making valid generalizations from sample data and;

·         greater appreciation for the importance of statistical literacy in today’s data rich world.

b. Course Outcomes

By the end of the course, the students will be able to:

1.  Demonstrate their understanding of statistical analysis by practical application of quantitative reasoning and data visualization.

2.  Critical attitudes, which are necessary for “life-long learning”

3.  Analyze the structure of real-world problems and plan solution strategies. Solve the statistical problems using appropriate tools.

c. Student Outcomes Addressed by the Course

Students will be able to:

1. Recognize the need for, and prepare to engage in lifelong learning.

2. Utilize data, knowledge, and insights from various sources and disciplines to make informed decisions

3. Conduct business environmental scanning using appropriate business tools and technologies.

4.  Demonstrate knowledge and understanding of accounting principles and apply these to one’s work.

COURSE TOPICS

Prelim Period (Weeks 1)

I.                   Introduction. TIP Vision and Mission; TIP Graduate Attributes/ Institutional Intended Learning Outcomes; Program Educational Objectives; Program Outcomes/Student Outcomes; Course Objectives; Course Intended Learning Outcomes/Course Outcome; Course Policies.

Prelim Period (Weeks 1-2)

          I.          Sampling and Data

         II.         Descriptive Statistics

        III.       Probability Topics

       IV.       Discrete Random Variables

Midterm Period (Weeks 3-4)

         V.        Continuous Random Variables

       VI.       The Normal Distribution

      VII.      The Central Limit Theorem

     VIII.     Confidence Intervals

       IX.       Hypothesis Testing with One Sample

Final Period (Weeks 5-6)

        X.Hypothesis Testing with Two Samples

       XI.       The Chi-Square Distribution

      XII.      F Distribution and One-Way ANOVA   

     XIII.     Linear Regression and Correlation

Prepared by:

Paulo Noel Mazo, DBA

_________________________________________

Faculty Member’s Printed Name and Signature

Noted by:

Shirley U. Espino, Ph.D

_________________________________________

Department Chair

Approved to take effect on ____ Sem ____ SY

Dr. Froilan S. Labausa | Dr. Rosalinda P. Valdepeñas

____________________________________________________

                    Dean                                           VPAA

Date:

Date:

Date: