![]() Put test difference as 0 and confidence interval as 95.In the Options, use the required alternative, whether ‘not equal’, ‘less than’ or ‘greater than’.Check or uncheck the box for “Assume equal variances” depending upon the F test results (Two variance Test results).In Variables, enter the columns containing the measurement data.( First should be the initial data and second should be current data) Go to Stat > Basic Statistics > 2 Sample T.The null hypothesis is checked against one of the alternative hypotheses, depending on the situation. Two sample T test is used to check whether means are significantly different in two periods for two groups of data. Results: If the test’s p-value is less than the chosen significance level (normally 0.05), null hypothesis will be rejected. In Variables, enter the columns containing the measurement data ![]() Go to Stat > Basic Statistics > 2 Variances.This null hypothesis is tested against the alternate hypothesis (two samples are having unequal variance) Test for Two Variances is conducted to analyse whether variances are significantly different in two sets of data. For this p value has to be greater than 0.05 (or the decided p value within the organization based on risk analysis) and A 2 value has to be less than. In Variables, enter the columns containing the measurement data.įor the data to be normally distributed, null hypothesis cannot be rejected.Go to Stat > Basic Statistics > Normality Test> Anderson-Darling test.Normality of the data is tested using the Anderson-Darling test. In such cases if degree of correlation is quite high one of the factors will be avoided or relooked for new terms. correlation greater than 0.5 or -0.5, the factors have dependency. If VIF is greater than 10, correlation test (stat->basic statistics->correlation) will be conducted among the different parameters which are influencing Process Performance Model. Variance Inflation Factor (VIF) has to be less than 10.Otherwise, the parameter cannot be taken. has to be greater than 70 %( or the decided value within the organization based on risk analysis) for ensuring the correlation between the independent parameters and the dependent parameter.(Or the decided p value within the organization based on risk analysis) p-value has to be less than 0.05 for each factor as well as for the regression equation obtained.From the section for storage, include Residuals also.Go to Stat->regression->regression (In response and predictors, enter the columns containing the dependent and independent parameters respectively).Regression test will be conducted including all the independent parameters and the dependent parameter in the Process Performance Model. Go to Stat->Basis Statistics ->Correlation (Opt display P values)įor each correlation test p-value has to be less than 0.05 (or the decided p value within the organization based on risk analysis).If the control limits are within specification limits or the C p and C pk values are equal to or greater than one, the data is found to be capable.Ĭorrelation test will be conducted between each independent parameter and the dependent parameter (if both are of continuous data type) in the Process Performance Model. From the section for Options, enter ‘6’ as sigma tolerance, choose ‘within subgroup analysis’ and ‘percents’, and Opt ‘display graph’.From the section for Estimate choose ‘Average Moving Range” as methods of estimating sigma and ‘2’ as moving range of length,.Go to Stat->Quality Tools->Capability Sixpack(Normal), Choose single Column, (In variables, enter the column containing the parameter), Enter ‘1’ as subgroup size),Enter Lower spec and upper spec,.Once the selected parameter is baselined, capability of the same to meet the specification limits are tested. From the section for ‘Options’ enter sigma limit positions as 1 2 3.Īfter eliminating all the out of turn points, the system attains stability and is ready for baseline.From section of tests, choose specific tests to perform.From the section for Estimate, choose ‘Average Moving Range” as methods of estimating sigma and ‘2’ as moving range of length.Go to Stat->Control Charts-> I-MR (In variables, enter the column containing the parameter).In this article, 7 statistical tests are explained which are essential for doing statistical analysis inside a CMMI High Maturity (HM) compliant project or organization.ĭata stability for the selected parameter is tested using minitab before making performance baselines.
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