Student, who passed the course satisfactorily will be able to:

1. construct graphical representations of data, interpret the graphs using MİNİTAB

2. compute the numerical values of the sample statistics and interpret them

3. find confidence intervals of the unknown parameters of the distributions from observed samples

4. test the statistical hypothesis about the unknown parameters of the distributions from an observed sample, compute related error probabilities

5. construct/estimate a linear model (regression/ design of experiments) with single and multiple independent variables, perform the significance tests

6. perform residual analysis, model transformation when necessary