This preview shows pages 1–16. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: (approximately): 99% 99.5% within 3 SD. 68% 68% of the data is within 1 SD of the mean. 95% 95% within 2 SD. 9 If the data distribution is bellshaped, then the interval: contains about 68% of the values in the population or the sample The Empirical Rule 1 X 68% 1 10 contains about 95% of the values in the population or the sample contains about 99.5% of the values in the population or the sample The Empirical Rule 2 3 3 99.5% 95% 2 11 Examples of Empirical Rule 12 Examples of Empirical Rule 13 Chebyshevs rule For any measurements, At least 100(1 (1/k 2 ))% of the values must lie within the interval and K1. s k X 14 Examples of Chebyshev Rule 15 Examples of Chebyshev Rule 16 Case study If time permits we will do a case study in class....
View Full
Document
 Spring '07
 Cummings

Click to edit the document details