Business Statistics

COURSE DESCRIPTION

You will become familiar with terminology, basic tools and concepts of management science and statistical methods, as well as the current software in the area, to be able to communicate with analysts and other experts in the field.

You will develop an understanding of how to interpret the results of the quantitative and computational analysis of a decision problem.

RECOMMENDED BOOKS

Title Author(s)
 Statistics for Management aw-Hill R.I. Levin & David
Introduction to Statistics Western Walpole, R.E. Macmillan Publishing Co., Inc
Business Statistics  A First Course David M. Levine & Krehbiel
Basic statistics for Business and Economics Earl K. Bowen & Martin Starr

 

Lecture Number Date Title of Chapter Contents
1    

 

 

 

INTRODUCTION:

 

INTRODUCTION:

  • Definition
  • Descriptive and Inferential Statistics
  • Population and Sample
2  
  • Parameter and Statistic
  • Data and its types
  • Variables and its types
3  
  • Primary and secondary data
  • Application of Statistics in Business
4    

 

 

 

 

 

 

DATA CONDENSATION AND PRESENTAION:

 

DATA CONDENSATION AND PRESENTAION:

  • Data
  • The data Array
5  
  • Frequency Distribution
6  
  • Relative Frequency Distribution
  • Cumulative Frequency Distribution
7   TEST
8  
  • Graphic Representation

Ø  Pie Chart

9   Ø  Bar Charts
10   Ø  Histogram
11   Ø  Ogive

Ø  Frequency curve

12   Ø  Stem and Leaf display
13   Ø  Frequency Polygon
14    

 

 

MEASURES OF CENTRAL TENDENCY:

MEASURES OF CENTRAL TENDENCY( Introduction)

  • Arithmetic mean
  • Properties of A.M
  • Merits and demerits of A.M
15  
  • Median
  • Merits and demerits of Mediam
16  
  • Mode
  • Merits and demerits of Mode
17  
  • Quartiles
18    

MEASURES OF DISPERSION:

  • Range
  • Coefficient of range
19  
  • Variance
  • Standard deviation
  • Coefficient of Variation
20    

 

SAMPLING

  • Sampling
  • Target population
  • Study population
  • Types of sampling
21  
  • Simple random sampling
22   ·         Stratified random sampling
23   ·         Systematic random sampling
24   ·         Cluster sampling
25   Mid Term
26
27
28    

PERMUTATION AND COMBINATION:

PERMUTATION AND COMBINATION:

  • Basic sets and Subsets
  • Operations on Sets
29  
  • Permutation
  • Combination
30    

 

 

 

 

PROBABILITY:

PROBABILITY:

  • Introduction to Probability.
  • Experiment, Random Experiment, Sample Space, Events, Mutually Exclusive Events, Exhaustive Events, Equally Likely Events, Dependent and Independent Events
31  
  • Definitions of Probability
  • Classical probability
32   ·         . Addition and Multiplication Laws of probability and their applications.
33  
  • Subjective probability
34   ·         Relative probability
35    

BINOMIAL DISTRIBUTION

  • Introduction the Binomial distributions.
  • Properties of the Binomial Distribution

 

36  
  • Numerical
37    

POISSON DISTRIBUTION

  • Introduction to Poisson distribution.
  • The Poisson probability Function.
38  
  • Numerical
39    

 

NORMAL DISTRIBUTION

  • Introduction to Normal Distribution.
  • Properties of the Normal Distribution
40  
  • Tabulated Area of the Normal distribution.
41  
  • Normal distribution and its application
42  
  • Numerical
43    

 

 

 

REGRESSION AND CORRELATION

  • Introduction to regression and correlation
44  
  • Simple Regreesion
45  
  • Scattar Plot
46  
  • Properties of Regression
47  
  • Numerical
48   ·         Simple Correlation
49   ·         Simple Correlation coefficient
50   ·         Properties of Correlation coefficient
51   ·         Numerical
52   Final Term

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