1. Stats analysis Using JMP

2. Dataset: IRIS.jmp Univariate distributions and statistics Hypotheses: difference of means Covariance Analysis Regression

3. Univariate distributions Variables: slength, swidth, plength, pwidth, class In JMP: Analyze - Distribution Quantiles Moments Histograms

4. Difference of Means Hypothesis Testing Test if mean values of the continuous variables are statistically different among the 3 classes In JMP: –JMP Starter –Basic –Two-sample t-test –Y: continuous variable, X: class variable

5. Needed theoretical background To better understand test of hypotheses of difference of means and confidence intervals, we need to understand the theory behind: –Normal distributions –Standardized Normal (0,1) –Central limit theorem Powerpoints: normal.ppt, diff-means.ppt

6. Covariance Analysis In JMP: –Analyze –Multivariate Methods –Select all continuous variables

7. Simple Linear Regression In JMP: –Analyze –Fit Model –Y: variable to be predicted or explained –Add: explaining variable –Run Model –Try with different pairs of the continuous variables

8. Regression Needed theoretical background –Powerpoints: regression.ppt