Statistics & Probability

Statistics and Probability

EG 2207 SH

                                                                                                                 Total:  4 hour /week

Year:         II                                                                                          Lecture:   3 hours/week 

Semester:  IV                                                                                            Tutorial:   1 hours/week                    

Course Description:

This course deals with a practical knowledge of the principles and concept of probability and statistics and their application to simple engineering problems. 

Course Objectives:

After completing this course the students will be able to:

1.     Explain the principles and concept of probability to simple engineering problems

2.     Apply statistics to solve simple engineering problems

Course Contents:

Unit	Topics	Contents	Hours	Methods /Media	Marks
1	Introduction:	1.1 Origin and Definition of Statistics 1.2 Importance and Scope of Statistics 1.3Limitation of statistics	4hrs
2	Basic concept of Statistical Studies:	2.1 Data, type and Sources of data  2.2 Population and Sample 2.3 Variables and Parameter	6hrs
3	Organizing a Raw Data:	3.1 Classification of Data 3.2 Meaning and Importance of table 3.3 Parts of Table	6hrs
4	Pictorial Representation of a Data Set	4.1 Introduction 4.2 Difference between Diagram and Graphs 4.3 Bar diagram, Histogram, Pie diagram, Steam leaf display 4.4 Graphical Representation of Data 4.5 Limitation of Diagram and Graphs	5hrs
5	Summarizing a Data set:	5.1 Introduction 5.2 Central Tendency (mean, median, and mode)	8hrs

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Unit	Topics	Contents	Hours	Methods /Media	Marks
		5.3 Variability of Dispersion (range, inter quartile range, and standard deviation
6	Concepts of Probability:	6.1 Introduction of probability 6.2 Definition of probability  6.3 Basic terms of probability theory 6.4 Counting rule ( permutation and combination) 6.5 Abdicative and multiplicative law of probability	8hrs
7	Theatrical probability distribution:	7.1 Random variables 7.2 Binomial distribution 7.3 Poisson distribution 7.4 Normal Distribution	4hrs
8	Bivariate  data analysis:	8.1 Introduction 8.2 Correlation ( Karl Pearson’s Coefficient of Correlation) 8.3 Linear regression	4hrs

References books:

1.     A Text book of Statistics – B.C. Bajracharya

2.     Elementary Statistics – H. C. Saxena

3.     Statistical Methods – Mrigendralal Singh

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