This preview shows pages 1–6. 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 Document
Unformatted text preview: of freedom , is formed. • Based upon ChiSquare, and thus, Z, and thus the Normal Distribution • The normal distribution is the mother of all important distributions that we form. DISTRIBUTIONS: Normal (regular normal) Z tdistribution ChiSquare FDistribution APPLIED STATISTICS BEGINS… III. Interval Estimators A. Confidence Interval – A formula for determining a range of values that will contain the true population parameter with fixed probability in repeated sampling. Example – A 90% confidence interval for the population mean uses the point estimator (sample mean of X) to find the values for “a” and “b” such that: 1.) The probability in repeated sampling that the confidence interval will not contain (whatever it is we are estimating, like µ ) is a. Alpha is the probability of an error (later, alpha = the level of significance) NO EXERCISE FOR FRIDAY...
View
Full
Document
This note was uploaded on 06/03/2009 for the course ECON 203 taught by Professor Casler during the Spring '09 term at Allegheny.
 Spring '09
 Casler

Click to edit the document details