Lecture3_Part1

Lecture3_Part1 - Normal Distribution SUNY at Albany -...

Info iconThis preview shows pages 1–7. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Normal Distribution SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions Normal Distribution X f(x) 2 2 2 1 exp 2 1 ) ( x x x x x f PDF: 1. Normal Distribution A. X : a continuous random variable and - < X < + ~ : distributed as N : the normal distribution x : population mean x 2 : population variance x and x 2 are parameters of the distribution. SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions 2 , ~ x x N X SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions Normal Distributions 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 X f(x) = 6 = 5 SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions SUNY at Albany - Department of Economics Eco 320 Economic Statistics Distributions Normal Distributions 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 X f(x) 2 = 0.0625 2 = 1 2. Properties of Normal Distribution A. The normal distribution is bell-shaped and symmetrical around the mean (skewness is 0). B. The mean is where the peak of the density occurs, and the standard deviation indicates the spread or the girth of the bell curve. These two parameter fully describe a normal distribution....
View Full Document

This note was uploaded on 02/08/2012 for the course ECON 320 taught by Professor Chan during the Spring '11 term at SUNY Albany.

Page1 / 44

Lecture3_Part1 - Normal Distribution SUNY at Albany -...

This preview shows document pages 1 - 7. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online