1. Math 4030 Probability and Statistics for Engineers
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Math 4030 Probability and Statistics for Engineers
Instructor: Dr. W. Huang
Office: Ryan Building 2007
Tel./Fax:

2. Highlights from Course Outline
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Highlights from Course Outline
Website:
Lecture Hours:
FA: MW 8:30 – 10:00 AM (UC 0050)
FB: MW 11:30 – 1:00 PM (AT 1003)
Office Hours:
Wed. 3:00 – 4:00 PM (RB 2007)
Math 4030 FA/FB
5/31/2018

3. Highlights from Course Outline
5/31/2018
Highlights from Course Outline
Textbook:
Richard Johnson, Miller & Freund’s Probability and Statistics for Engineers, 9th Edition
Evaluation:
Assignments
Midterm
Final Exam
16%
20%
64%
Midterm Date: Oct. 25 (Wednesday)
Math 4030 FA/FB
5/31/2018

4. Basic Concepts Descriptive Statistics:
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Basic Concepts
Descriptive Statistics:
Present data using tables and charts;
Summarize data by means of numerical measurements and graphs.
Inferential Statistics (Sample  Population):
Estimate population parameters;
Test hypotheses regarding populations;
Explore the correlations between variables;
Predict behaviours of random variables.

5. 5/31/2018
Basic Concepts
Unit: A single entity, usually an object or person, whose characteristics are of interest (and to be collected or measured).
Population of Units: The complete collection of units about which information is sought.
Statistical Population: the set of all measurements corresponding to each unit in the entire population of units about which the information is sought.

6. Basic Concepts Sample: a subset of population.
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Basic Concepts
Sample: a subset of population.
Sample (Data): a subset of measurements that are actually collected in the course of an investigation.
Variable of interest: characteristic of interest, can be collected or measured from the units of population.

7. Basic Concepts Types of Variables: Qualitative vs. quantitative
5/31/2018
Basic Concepts
Types of Variables:
Qualitative vs. quantitative
Numerical vs. categorical
Continuous vs. discrete
Levels of measurements
Nominal
Ordinal
Scale (interval, ratio)