stat test 3 - Hypothesis testing-procedure for testing a...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Hypothesis testing-procedure for testing a claim about the value of a parameter Level of significance= Power= Trade-off between Three ways to increase power. Increase , decrease variability, increase n Test statistic- standardized version of the obtained data. Critical region- range of values of test statistic for which we reject Ho Critical value- boundary point of this range Statistically significant- test in which we reject Ho p-value- smallest level of significance for which we would reject Ho Sample correlation coefficient- r, is measure of degree of linear relationship b/t two variables in the sample Population correlation coefficient-p, is measure of degree of linear relationship b/t two variables in the population -Accept Ho unless evidence convinces us its false -Draw picture according to Ho, locate critical region according to H1 -If we reject Ho in a two0tail test, our conclusion must indicate the direction of the result -The smaller the p-value, the more sure we are that Ho is wrong -Ignore the sign of t when finding bounds on the p-value -Ho and H1 never depend on the value of X bar - Ask yourself: one tail or 2? =.05 or =.01? given values or S values? Given std. deviations or variances?
Background image of page 1

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

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This test prep was uploaded on 04/01/2008 for the course STAT 3604 taught by Professor Rsschulman during the Fall '06 term at Virginia Tech.

Page1 / 2

stat test 3 - Hypothesis testing-procedure for testing a...

This preview shows document pages 1 - 2. Sign up to view the full document.

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