Course Syllabus - Business Statistics 1q6c4g

DR. YANGA’S COLLEGES, INC. (Formerly Dr. Yanga’s Francisco Balagtas Colleges) Wakas, Bocaue, Bulacan

CENTER FOR CURRICULUM DEVELOPMENT AND INSTRUCTIONAL TECHNOLOGY COURSE SYLLABUS COLLEGE OF ARTS AND SCIENCES College Course Title

Business Statistics

Course Code

Math 40

No. of units

3

No. of hours/lecture

3 hours per wk/14 weeks

No. of units/laboratory

0

Year level and semester

Second year/First semester

Course description

Concepts and applications of statistics in business

Course general objectives

Review of the basic statistical concepts Introduce advance topics in Statistics Develop keen appreciation of business applications of Statistics Class standing = 40%; class participation, seat works, graded assignments, quizzes Written examinations = 40%; four periodical exams Character = 10%; good manners and right conduct Projects = 10% ;any learning related output s Preliminary = 25% Midterm = 25% Semifinal = 25% Final = 25%

Mode of evaluation

Weight distribution of final grade

COURSE OUTLINE WEEK

1

2-3

4-5

6

TOPIC/LESSON

SPECIFIC LEARNING OBJECTIVES

REFERENCE John Buglear, Stats Means Business, A Guide to Business Statistics.

Class orientation on course requirements, policies Introduction to basic concepts of statistics

Get to know the students’ general background and interests; Discuss rules and policies Discuss grading system and requirements Key words that need to be understood Numerical skills needed in the study of Statistics

Data presentation

Types of data Displaying qualitative data Displaying quantitative data

Lecture Chapter exercises

Summarizing univariate data

Measure of location Measure of variation Measuring quality and consistency

Lecture Long Quiz Chapter exercises

Berenson, Mark L; Levine, David M; Krehbiel, Timothy C., Basic Business th Statistics: Concepts and Applications, 10 Edition. Pearson Education South Asia Pte. Ltd.

Ditto

Ditto

Preliminary examination Summarizing bivariate data

Correlation and regression Summarizing data collected over time

8-9

Basic probability concepts

Measuring probability Different types of probabilities The rules of probability Tree diagram

10

Midterm examination

11

Discrete probability distributions

7

STRATEGIES

Simple probability distribution The binomial distribution The Poisson probability distribution

Lecture Chapter exercises

Ditto

Lecture Graded exercises

Ditto

Lecture Graded exercises Chapter quiz

Ditto

12-13

Continuous probability distribution

The normal distribution The standard normal distribution

Lecture Graded exercises

Ditto

Lecture Graded exercises

Ditto

14

Semifinal examination

15-16

Modeling population

The t distribution Choosing the correct model for a sampling distribution

16-17

Statistical decision making

Estimation Estimating population proportion Hypothesis testing

18

Final examination

Prepared by:

Noted by: Elenita A. dela Cruz Faculty

Checked and reviewed by: Dr. Evelyn D Austria Director, CCDIT

Prof. Evangeline Balboa Dean, College of Business and ancy Approved by: Prof. Michael Yanga Vice President for Academic Affairs