Example Problem 3.24 Complete analysis.

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Presentation transcript:

Example Problem 3.24 Complete analysis

Check the data Look for missing values Look for “impossible” values, usually data entry problems Look for balance (or not) in the data

Make sure data imported correctly

Draw Layout and Model Layout: Model:

Specify Model in software (JMP, SAS, etc.)

Plot the data

Get descriptive Statistics and error bars

Do One-way ANOVA which computes F-Statistic, predicted and residual values

The hypothesis test:

Since Brand is a significant treatment effect, do a means test (multiple range procedure) on treatment means.

Hypotheses tested by Tukey range procedure

Now output the Residual and Predicted values to do diagnostics on.

Plot and test of Normality

Check variances Plot Test

Assumptions met or not. Assumptions met, summarize results. Assumptions not met, diagnose problem, either use Box-Cox transformation and rerun the ANOVA using the transformed response variable, or use a nonparametric procedure.