anova one wat in excel for mac percentage

In this case, Dunnetts test is more powerful than the other tests described on this webpage.

If interp TRUE (default) the recommended interpolation is used; otherwise linear interpolation is used.

When the dialog box shown in Figure 1 of ANOVA Analysis Tool appears, fill in the Input Range with A3:D11, make sure that the Column headings included with data is checked and choose the Dunnetts option.

After clicking on the OK button, the output shown on the right side of Figure 1 is displayed.

Thus the critical value in Dunnetts Table when k 4, df 28 and.05 is 2.483.

The higher the R 2 value, the better the model fits your data.

Key output includes the p-value, graphs of groups, group comparisons, R 2, and residual plots.

In This Topic Step 1: Determine whether the differences between group means are statistically significant Step 2: Examine the group means Step 3: Compare the group means Step 4: Determine how well the model fits your data Step 5: Determine whether your model meets the assumptions of the analysis Step 1: Determine whether the differences between group means are statistically significant.

Usually, a significance level (denoted as or alpha) of 0.05 works well.

A significance level of 0.05 indicates a 5 risk of concluding that a difference exists when there is no actual difference.

Use your specialized knowledge to determine whether the differences are practically significant.

For more information, go to Statistical and practical significance.

Verify that your test has enough power to detect a difference that is practically significant.

For more information, go to Increase the power of a hypothesis test.

Because the p-value is 0.0043, which is less than the significance level of 0.05, you can reject the null hypothesis and conclude that some of the paints have different means.

You can be 95 confident that a group mean is within the groups confidence interval.

You cannot determine from this graph whether any differences are statistically significant.

To determine statistical significance, assess the confidence intervals for the differences of means.

Use the grouping information table and tests for differences of means to determine whether the mean difference between specific pairs of groups are statistically significant and to estimate by how much they are different.

The table displays a set of confidence intervals for the difference between pairs of means.

The interval plot for differences of means displays the same information.

If you do not control the simultaneous confidence level, the chance that at least one confidence interval does not contain the true difference increases with the number of comparisons.

Key Results: Mean, Grouping In these results, the table shows that group A contains Blends 1, 3, and 4, and group B contains Blends 1, 2, and 3.

Differences between means that share a letter are not statistically significant.

Blends 2 and 4 do not share a letter, which indicates that Blend 4 has a significantly higher mean than Blend 2.

The individual confidence levels for each comparison produce the 95 simultaneous confidence level for all six comparisons.

The lower the value of S, the better the model describes the response.

However, a low S value by itself does not indicate that the model meets the model assumptions.

You should check the residual plots to verify the assumptions.

Anova One Wat In Excel For Mac Percentage