STATISTICS

STT 101.3 (Credit hours 3)

Business Statistics

BCA, Third Year, Fifth Semester

Course Objectives:

This course aims to providing students with a through understanding of descriptive and inferential statistical tools used in business decision making.

Course Contents:

1. Introduction                                                                                                                        3 hours

Statistics and data, quantitative and categorical variables, fundaments elements of a statistical analysis

2. Data collection                                                                                                                    4 hours

Sources of data, experimental research, survey research, questionnaire, data preparation- editing, coding and transcribing

3. Tables and Charts                                                                                                              3 hours

Steam-and-leaf display, frequency distribution, relative frequency distribution, cumulative polygon, timeplots

4. Summarizing and Describing Numerical Data                                                                6 hours

Measure of central tendency: mean, median, mode and mid-hinge. Measures of variation: range, inter quartile range, standard deviations, and coefficient of variations. shape, five-number summary and box-and-whisker plot

5. Probability                                                                                                                          7 hours

Basic concepts, counting rules, objective and subjective probability, marginal and joint probability, addition rule, conditional probability, multiplication rules, Bayes' Theorem

6. Discrete Probability distribution                                                                                       6 hours

Random variables, mean and standard deviation of discrete random variables, mathematical expectation, binomial distribution, Poisson distribution

7. Continuous probability distribution                                                                                 5 hours

Normal distribution and its applications, assessing normality, normal approximation of binomial on, Poisson distribution .

8. Estimation  of Population Parameters                                                                             6 hours

Law of large numbers central limit theorem, statistical confidence, confidence for means and populations

9. Hypothesis Testing                                                                                                             8 hours

Testing of significance, P-value approach to hypothesis testing, connection between confidence intervals and hypothesis testing, comparing two means (two sample z and t-test procedures), comparing two proportions, power

Text Books:

1. Levin, Richard I. And David S. Rubin: Statistics for management, prentice-Hall of India
2. Berenson, Mark L. and David M. Levine: Business Statistics: Concepts and Applications, Prentice-Hall, Inc