slide17 - Nonparametric Tests Underlying population...

Info iconThis preview shows pages 1–4. Sign up to view the full content.

View Full Document Right Arrow Icon
1 ± Underlying population distribution is continuous. No other assumptions. ± Data need not be quantitative, but may be categorical or rank data. ± Very quick and easy to perform. Nonparametric Tests 2 ± When distribution is normal, parametric test is better. The nonparametric test requires larger sample size to achieve same power. ± When distribution is not close to normal, nonparametric methods are much better. ± Choose the parametric procedure whenever possible. Parametric vs. Nonparametric
Background image of page 1

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

View Full DocumentRight Arrow Icon
3 ± Tests hypotheses about the median. ± Null hypothesis H 0 : ± Find the differences x i ± Test statistic: R + is number of differences that are positive. ± What are the P-values for different tests? ± Reject H 0 if the P-value is less than α . Sign Test (1) 0 µµ = %% 0 µ % 4 ± When n is large (at least 10), and p=0.5, the binomial is approximately normal. ±
Background image of page 2
Background image of page 3

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

View Full DocumentRight Arrow Icon
Background image of page 4
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 05/05/2008 for the course IE 121 taught by Professor Perevalov during the Spring '08 term at Lehigh University .

Page1 / 4

slide17 - Nonparametric Tests Underlying population...

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