THE CENTRAL LIMIT THEOREM- WHAT SAMPLE SIZE IS NEEDED?
PAUL BOUTHELLIER DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE UNIVERSITY OF PITTSBURGH-TITUSVILLE TITUSVILLE, PA 16354 PBOUTHE@PITT.EDU
THE CENTRAL LIMIT THEOREM- WHAT SAMPLE SIZE IS NEEDED? PAUL - - PowerPoint PPT Presentation
THE CENTRAL LIMIT THEOREM- WHAT SAMPLE SIZE IS NEEDED? PAUL BOUTHELLIER DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE UNIVERSITY OF PITTSBURGH-TITUSVILLE TITUSVILLE, PA 16354 PBOUTHE@PITT.EDU The central limit theorem (CLT) states that the
PAUL BOUTHELLIER DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE UNIVERSITY OF PITTSBURGH-TITUSVILLE TITUSVILLE, PA 16354 PBOUTHE@PITT.EDU
The central limit theorem (CLT) states that the distribution of sample means approximates a normal distribution as the sample size gets larger. Sample sizes equal to or greater than 30 are considered sufficient for the CLT to hold.
Shall Look At: n≥30 Does Not Work For Highly Skewed Distributions And Our Sample Sizes Just Cannot Approach Infinity
ROYAL FLUSH 800 FOUR DEUCES 200 WILD ROYAL FLUSH 25 FIVE OF A KIND 15 STRIGHT FLUSH 9 FOUR OF A KIND 5 FULL HOUSE 3 FLUSH 2 STRIGHT 2 THREE OF A KIND 1
What is the Daily Distribution of Winnings/Losses? Sample Size n=4800
What is the Yearly Income Distribution? Sample Size n=1,440,000