'Col 2' diaporamas de présentation

Presentation Part 1

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Statistics 202: Statistical Aspects of Data Mining Professor David Mease

Statistics 202: Statistical Aspects of Data Mining Professor David Mease Tuesday, Thursday 9:00-10:15 AM Terman 156 Lecture 12 = More of Chapter 5 Agenda: 1) Assign 5 th Homework (due Tues 8/14 at 9AM ) 2) Discuss Final Exam 3) Lecture over more of Chapter 5. Homework Assignment:

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BIBLICAL PASTORAL FORMATION

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Jeopardy

Jeopardy. FirstWomanEngineer. Choice 3. Choice 4. 100. 100. 100. 100. 200. 200. 200. 200. 300. 300. 300. 300. 400. 400. 400. 400. 500. 500. 500. 500. Row 1, Col 1. Row 1, Col 2. Row 1, Col 3. Row 1,Col 4. Row 2, Col 1. Row 2, Col 2. Row 2, Col 3. Row 2, Col 2.

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3.9 Determinants

3.9 Determinants. Given a square matrix A its determinant is a real number associated with the matrix. The determinant of A is written: det( A ) or | A | For a 2x2 matrix, the definition is. a. b. a. b. det = = ad - bc. c. d. c. d.

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Become Complete

Become Complete. Col 2. 1) We are complete in Christ- Col 2. 9 For in Him dwells all the fullness of the Godhead bodily; 10 & you are complete in Him , who is the head of all principality & power.

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Seasonal Analysis

Seasonal Analysis. What is the period?. R-code. par(bg='yellow') plot(co2,lwd=2,col=4,xlab='Time, years',ylab='CO2 in parts per million (ppm)', main='Mauna Loa Atmospheric CO2 Concentration') abline(v=seq(1950,2006,by=10),lty=2) abline(h=seq(320,360,by=10),lty=2). R-code.

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UNR * STAT 758 * Fall 2006

Seasonal Analysis. UNR * STAT 758 * Fall 2006. What is the period?. R-code. par(bg='yellow') plot(co2,lwd=2,col=4,xlab='Time, years',ylab='CO2 in parts per million (ppm)', main='Mauna Loa Atmospheric CO2 Concentration') abline(v=seq(1950,2006,by=10),lty=2)

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UNR * STAT 758 * Fall 2006

Time Series Analysis. Lecture 1. UNR * STAT 758 * Fall 2006. Data Plot. UNR * STAT 758 * Fall 2006. UNR * STAT 758 * Fall 2006. UNR * STAT 758 * Fall 2006. UNR * STAT 758 * Fall 2006. Theory of Probabilities & Statistics. Probability (a fair coin will show about 50% of tails). Model.

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