Statistics ANOVA
What is ANOVA?
Analysis of Variance Test if a measured parameter is different between groups Literally comparing the sample means by analyzing the variances
Differing Variances – same mean
Remember Variance?
Sum of Squares
Partitioning the Variance SSTotal = SSbetween + SSwithin SSWithin = mean of squared deviations within each group summed SSbetween = SStotal – SSwithin
The goal is to create the table SourceSSdfMSFp Between(g)roups – 1SS between /dfMS between /MS within Withinn – gSS within /dfblank Totaln – 1blank SS = Sum of Squares df = degrees of freedom MS = Mean Squares (like variance since you divide by the portion of the sample size) F = the F test statistic, need to choose a alpha level i.e. 5% p = probability
F distribution
F table – differs by alpha
For Instance If we had split the class into 2 groups and had each group cruise the entire walnut woods tract the same way. We could compare the values obtained by group 1 to those from group 2.
Theoretical example Point numberGroup 1Group These are BA per acre estimates from point sampling Walnut Woods total points divided in half to create 2 groups. Group 2 basically equals points Did the higher numbered points have fewer stems?
Point Locations
Hypothesis Walnut woods has the same BA/acre in the west half and the east half Use F statistic to infer significance
Single factor ANOVA in Excel 1. On the Data tab, click Data Analysis. 2. Select Anova: Single Factor and click OK. 3. Click in the Input Range box and select the range B2:C8. 4. Click in the Output Range box and select an empty cell such as A10. 5. Click OK.
Result Anova: Single Factor SUMMARY GroupsCountSumAverageVariance Column Column ANOVA Source of VariationSSdfMSFP-valueF crit Between Groups Within Groups Total
F table – differs by alpha
Result Since F > F crit we reject the null hypothesis that the 2 samples have the same BA/acre.
Questions?