Statistics in Management (1) – BBA


Credit: 3

Hours: 51

Credit Type: Theory

Pre-requisite: Pre-Math


Objective:

The aim of this course is to familiarize the students with the foundations of statistics which are used in practical research.

 

Main Topics:

A) Definition of statistics- descriptive and inferential statistics

B) To understand statistical concepts (such as society, limited and un-limited society, sample, etc)

 

Data Presentation:

A) The concept and application of sigma

B) Distribution – methods of building distribution- quality distribution

C) Statistical Diagrams- Histograms, polygons, abundance diagram of, bar chart, tables, pie charts, and time series diagram

D) Measures of central location: mean, median, mode

E) Second torque / quadratic moment and their relations

F) Measure of distribution: range, Average deviation, variance, standard deviation

G) Measures of Skewness and Kurtosis

 

Probability:

A) The concept and the origin of probability

B) Main concepts in probability: Experiment, event, sample space

C) Counting rules

D) Some probability rules

E)  Conditional probability, independence events

G) BAYES’ Law

 

Probability Distribution:

 

  1. discrete Random variable , district probability function, several district probability distribution (uniform, Bernoulli,  Binominal probability distribution, poisson,  Pascal, Geometry, multinominal)
  2. the concept of continuous exponential variable and density Function
  3. Several continuous probability distribution( Normal, Standard normal, gamma distribution

 

Decision Making:

Decision making in certainty

Decision making in uncertainty

Decision making in risky conditions

Decision branch using the case “Byz” to update the information