LectureAug26

LectureAug26 - 1 Descriptive Statistics I What Can...

Info iconThis preview shows pages 1–4. 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
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: 1 Descriptive Statistics I. What Can Statistical Procedures Tell Us? II. Population Statistics • Central Tendency • Dispersion • Normal Distribution III. Estimates from a Limited Sample • Sample Statistics • How Good are These Estimates? • Standard Error of the Mean IV. Classification of Data V. BME 423 HR • Interval Data • Categorical Data BME 423 Lecture Notes - Aug. 26, 2009 Reading : Chapt.1 & 2 II. Population Statistics 1 1 N i i x N μ = = ∑ ( ) 2 2 1 1 N i i x N σ μ = = − ∑ Dispersion - Variance Central Tendency - Mean , 1 , , i x i N = … 40. 5.0 cm cm μ σ = = 15 2.5 cm cm μ σ = = 2 2 1 1 ( ) exp 2 2 x f x μ σ σ π ⎡ ⎤ − ⎛ ⎞ = − ⎢ ⎥ ⎜ ⎟ ⎝ ⎠ ⎢ ⎥ ⎣ ⎦ Normal (Gaussian) Distribution Probability density function for Normal distributed random variable f ( x ) x μ Normally distributed random variable (Income) 3 Non Normal Distribution II. Estimates from a Limited Sample – Sample Statistics 1 1 n i i x x n = = ∑ ( ) 2...
View Full Document

This note was uploaded on 10/13/2009 for the course BME 423 at USC.

Page1 / 7

LectureAug26 - 1 Descriptive Statistics I What Can...

This preview shows document pages 1 - 4. Sign up to view the full document.

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