Lecture 1. Introduction

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Lecture 1. Introduction What is this course about? Logistics Questionnaire Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech

Where you have seen statistics? Application fields of statistics sports (movie Money Ball ) stock market/finance weather forecast machine learning/computer/internet politics biology/medicine Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 1

What are statistical methods? Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 2

Question 1: what is the true value? Digital thermometer takes measurements measurements subject to a random error additive to the true value If you take 5 measurements, and obtain a sequence of numbers 98.2 98.6 97.4 98.2 97.9 98.9 then what the true temperature is likely to be? voltage of power line, chemical concentration... point estimator Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 3

Question 2: true or false? Apple production line produces a batch of 12 MacBook airs a technician claims: a common part - battery, in these MacBooks are entirely defective quality test shows that 6 out of 12 MacBooks are defective technician said: true of false? hypothesis test Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 4

Question 3: what interval the true value might be in? for the same digital thermometer example if instead of asking what is the most likely true temperature we ask what is a range [a, b], such that the true temperature is most likely to be within confidence interval Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 5

Question 4: design of experiment Color blindness appears in 1% of the people in a certain population. How large must a sale be if the population of its containing a color-blind person is to be.95 or more? how to design experiments Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 6

Why engineers care about experiments/measurements Power network monitoring a change-point Northeast blackout of 2003 is a widespread power outage in the northeastern US caused by...did not recognize the deteriorating condition of the system [in the Ohio part]. Northeast blackout, 2003 change-point: deteriorating condition of the power system (e.g. break-down of power line) detect the change-point in real-time may prevent large-scale blackout Super Bowl blackout, 2013 jcwinnie.biz, bravoprojects.co.in Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 7

solar flare detection power network monitoring traffic monitoring RFID supply chain management applications smart meters traffic sensors RFID tags sensors each pixel can be viewed as one sensor. # sensors 60,000 pixels 10 5 in a subset 25,000 in California millions kk.org, wikipedia, ubiu.co.kr, sensysnetworks.com, P. Varaiya Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 8

*)(+#"),)'!+&-.!$&#'/)"!(.'!0&!"#!$%& '(!#")& Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 9

*)(+#"),)'!+&-.!$&#'/)"!(.'!0&!"#!$%& '(!#")& model the uncertainty: probabilistic model, distribution functions make inference about truth: point estimation, hypothesis test, confidence interval Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 10

more generally: make inference about two samples, and multiple groups of samples interpret input-response: linear regression example: how voltage and current are related V = RI +n Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 11

Course will cover Review of probability theory and random variables (2027) Descriptive statistics Statistical estimation and sampling distributions Statistical confidence intervals of a single population Test of hypothesis of a single population Comparing two populations The analysis of variance Simple linear regression Multiple linear regression Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 12

Textbook Applied Statistics and Probability for Engineers, 5th Edition, Douglas C. Montgomery, George C. Runger, Wiley Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 13

Course Logistics Instructor: Prof. Yao Xie, Office: Groseclose 339, Email: yao.xie@isye.gatech.edu Instructor office hour: M 4:30-5:30pm, Groseclose 339 Schedule: MW, 8:05-9:25pm, Instr Center 209 TA: Caglar Caglayan, Office: Main Building 321, Email: ccaglayan6@mail.gatech.edu TA office hour: W 12:00-1:00pm, Office: Main Building 321 Homework: out M after class, due next W in class Grading: Class Attendance 3%, Submitting Teaching Evaluation 2%, Homework - 15%, Computer Example 1-10%, Computer Exam 2-10%, Midterm 1-15%, Midterm 2-15%, Final - 30% Midterms: 9/23, 11/4 in class Computer Exams: 10/21, 11/13 in class Final: 12/11 8-10:50am, in classroom Prof. Yao Xie, ISyE 2028, Basic Statistical Methods, Georgia Tech 14