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Engineering Probability and Statistics - SE-205 -Chap 1

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Title: Engineering Probability and Statistics - SE-205 -Chap 1


1
Engineering Probability and Statistics - SE-205
-Chap 1
  • By
  • S. O. Duffuaa

2
Course Objectives
  • Introduce the students to basic probability and
    statistics and demonstrate its wide application
    in the area of Systems Engineering.

3
Main Course Outcomes
  • Students should be able to perform
  • Summarize and present data
  • Describe probability distributions
  • Compute probabilities using density/mass
    functions
  • Conduct interval estimation
  • Make inference about populations
  • Use statistical package/Minitab

4
Text Book and References
  • Applied Statistics and Probability for
    Engineers by D. C. Montgomery and Runger, 1994.
  • Probability and Statistics for Engineers and
    Scientists 5th by Walpole and Mayers.
  • Statistics by Murry Speigel

5
Course Policy
  • Home-works and attendance 15
  • Quizzes 15
  • Exam1 20
  • Exam II 20
  • Final Exam 30

6
SE- 205 Place in SE Curriculum
  • Central Course
  • Prerequisite for 7 SE courses
  • SE 303, SE 320, SE 323, SE 325,
  • SE 447, SE 480, SE 463 and may be others. See
    SE Curriculum Tree

7
Engineering Problem Solving
  • Develop clear and concise problem description
  • Identify the important factors in the problem.
  • Propose a model for the problem
  • Conduct appropriate experimentation
  • Refine the model

8
Engineering Problem Solving
  • Validate the solution
  • Conclusion and recommendations

9
Statistics
  • Science of data collection, summarization,
    presentation and analysis for decision making.
  • How to collect data ?
  • How to summarize it ?
  • How to present it ?
  • How do you analyze it and make conclusions and
    correct decisions ?

10
Role of Statistics
  • Many aspects of Engineering deals with data
    Product and process design
  • Identify sources of variability
  • Essential for decision making

11
Data Collection
  • Observational study
  • Observe the system
  • Historical data
  • The objective is to build a system model
    usually called empirical models

12
Data Collection
  • Design of experiment
  • Plays key role in engineering design

13
Statistics
  • Divided into
  • Descriptive Statistics
  • Inferential Statistics

14
Forms of Data Description
  • Point summary
  • Tabular format
  • Graphical format
  • Diagrams

15
Point Summary
  • Central tendency measures
  • Mean ? xi/n
  • Median --- Middle value
  • Mode --- Most frequent value

16
Point Summary
  • Variability measures
  • Range Max xi - Min xi
  • Variance V ? (xi x )2/ n-1
  • Standard deviation S
  • S Square root (V)
  • Coefficient of variation S/ x

17
Dot Diagram
  • A diagram that has on the x-axis the points
    plotted Given the following grades of a class
  • 50, 23, 40, 90, 95, 10, 80, 50, 75, 55, 60,
    40.

.
.
.
.
0
100
50
18
Dot Diagram
  • A diagram that has on the x-axis the points
    plotted Given the following grades of a class
  • 50, 23, 40, 90, 95, 10, 80, 50, 75, 55, 60,
    40.

.
.
.
.
0
100
50
19
Time Frequency Plot
20
Time Frequency Plot
21
Control Charts
Upper control limit 100.5
x 91.50
Lower control limit 82.54
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