10/19/2016

Challenge/Extra Credit - Write an R script to constuct a power curve for a one sample t test, a paired t test, or a two sample t test. The example at the bottom of this Quick-R page can be used as a guide.

One-way Analysis of Variance (ANOVA) - see P:\Data\MATH\Hartlaub\Elements of Statistics\One-way ANOVA.ppt

• Comparing k population or treatment means
• Hypotheses
• Model: Data = Fit + Error
• ANOVA table - partitioning the variability
• Test Statistic
• Computing p-values

Examples - Return to Pokemon data from Exam 1, see Exam1 F2016.doc.

• Test the hypothesis that combat power is the same for the four different species in the data set. See Pokemon.R
• Test similar hypotheses for other quantitative variables.

Class Exercises

Return to DataSurvey.R. Are there differences in the four classes for the quantitative variables?

5.43, 5.45, 5.47

Please complete your reading of Chapter 5 for class on Friday.