Thus, the engineer should not use the model to make generalizations beyond the sample data. The imprecision may be due to the small size of the groups. The low predicted R 2 (24.32%) value indicates that the model generates imprecise predictions for new observations. The confidence intervals for the remaining pairs of means all include zero, which indicates that the differences are not significant. The engineer can use this estimate of the difference to determine whether the difference is practically significant. Enter the variables Feed1, Feed2, Feed3, and Feed4 to insert them into the Responses box. Click the drop-down menu and select Responses are in a separate column for each factor level. Enter the appropriate columns for Response and Factor and click 'OK.' You will get out the analysis of variance table and Individual 95 confidence intervals for the means. This range does not include zero, which indicates that the difference between these means is significant. To perform an Analysis of Variance (ANOVA) test in Minitab: Open the Minitab file: ANOVAex.mpx From the menu bar, select Stat > ANOVA > One-Way. If the data (that is, all values of the response variable) are all in one column ('stacked'), use Oneway. The graph that includes the Tukey simultaneous confidence intervals show that the confidence interval for the difference between the means of Blend 2 and 4 is 3.114 to 15.886. The engineer uses the Tukey comparison results to formally test whether the difference between a pair of groups is statistically significant. That addition means that when Minitab alphabetizes the park names in the results, the parks are in order from smallest park factor to largest park factor.
This dataset is special because I added the park factor rank before the park names. The engineer knows that some of the group means are different. Here’s a Minitab 20.4 project with the data set that I analyzed.
#One way anova minitab software
This result indicates that the hardness of the paint blends differs significantly. Model Summary table for One-Way ANOVA Learn more about Minitab Statistical Software Find definitions and interpretations for every statistic in the Model Summary table.
The p-value for the paint hardness ANOVA is less than 0.05. Select Response data are in one column for all factor levels.