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Errors in Experimental Measurements

Errors in Experimental Measurements

Errors in Experimental Measurements. Sources of errors Accuracy, precision, resolution A mathematical model of errors Confidence intervals For means For proportions How many measurements are needed for desired error?. Why do we need statistics?. 1. Noise, noise, noise, noise, noise!.

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612 views • 52 slides
NEURAL - FUZZY LOGIC FOR AUTOMATIC OBJECT RECOGNITION

NEURAL - FUZZY LOGIC FOR AUTOMATIC OBJECT RECOGNITION

NEURAL - FUZZY LOGIC FOR AUTOMATIC OBJECT RECOGNITION. INTRODUCTION. Artificial Neural Networks is a system modeled on the human brain. It is an attempt to simulate with specialized hardware or sophisticated software the multiple layers of simple processing elements called neurons.

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264 views • 10 slides
Equilibrium Law

Equilibrium Law

Equilibrium Law. Mass action expression. Equilibrium constant. Kc =. Introduction to the Equilibrium law. [H 2 O]. [H 2 O] 2. [H 2 ] 2 [O 2 ]. [H 2 ] 2 [O 2 ]. Read 14.3 to PE1. 2H 2 (g) + O 2 (g) ? 2 H 2 O (g). 2 H 2 (g) + O 2 (g) ? 2H 2 O (g). 2H 2 (g) + O 2 (g) ? 2H 2 O (g).

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209 views • 7 slides
FIN 390 WEEK 3 COURSE PROJECT MILESTONE 3

FIN 390 WEEK 3 COURSE PROJECT MILESTONE 3

https://www.coursetutor.us/product/fin-390-week-3-course-project-milestone-3/ FIN 390 WEEK 3 COURSE PROJECT MILESTONE 3 • Milestone 3: Trends in YTM and Price: (20 points) At what price and YTM was the initial offering sold? Tabulate the price and YTM of the issue at the end of each calendar quarter for the last six quarters. Then, plot the tabulated values to visualize the trends in YTM and prices.

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88 views • 2 slides

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