Math 4030 Probability and Statistics for Engineers

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Math 4030 Probability and Statistics for Engineers 5/31/2018 Math 4030 Probability and Statistics for Engineers Instructor: Dr. W. Huang Office: Ryan Building 2007 Tel./Fax: 343-8798 Email: whuang1@lakeheadu.ca

Highlights from Course Outline 5/31/2018 Highlights from Course Outline Website: http://whuang.lakeheadu.ca/4030.htm 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) Email: whuang1@lakeheadu.ca Math 4030 FA/FB 5/31/2018

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

Basic Concepts Descriptive Statistics: 5/31/2018 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.

5/31/2018 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.

Basic Concepts Sample: a subset of population. 5/31/2018 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.

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)