Download presentation

Presentation is loading. Please wait.

Published byLarry Rey Modified over 2 years ago

1
REMINDER 1) GLM Review on Friday 2) Exam II on Monday

2
Chapter 13.6 Nested Random Effects (Hierarchical ANOVA)

3
Introduction Nested ANOVA Similar to: One-way Two-way

4
Example Mosquito wing lengths Two measurements made on the left wings of 4 mosquitos in each of 3 cages Verbal model: Does mosquito wing length vary among cages as well as among mosquitoes?

5
Graphical model

6
Formal model Execute analysis lm1 <- lm(wlen~cage/fly, data=m) anova(lm1)

7
3.Evaluate the model – ok 4.State population and whether sample is representative. – mosq.’s in cages...bla bla 5.Decide on mode of inference. Is hypothesis testing appropriate? – yup 6.State H A /H o pairs, test statistic, distribution, tolerance for Type I error. – Interaction: – Cage: – Fly ⊂ Cage:

8
7.ANOVA. Calculate df and SS, partition according to model. – n = 24

9
7.ANOVA. Calculate df and SS, partition according to model.

10
8.Decide whether to recompute p-value. – no 9.Declare decision about terms. – Significant variance among flies F = 147.07; df = 9, 12; p < 0.0001 – No significant cage effect F = 1.741; df = 2, 9; p = 0.23 10.Report and interpret parameters of biological interest.

Similar presentations

OK

8.1 Testing the Difference Between Means (Large Independent Samples)

8.1 Testing the Difference Between Means (Large Independent Samples)

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Seminar ppt on blackberry technology Ppt on job interview skills Ppt on channels of distribution sample Ppt on acid-base titration simulation Ppt on cloud server Parts of speech for kids ppt on batteries Ppt on google cloud storage Ppt on forward rate agreement hedging Ppt on media research topics Ppt on second law of thermodynamics explained