Directions: Click on the Data button below to display the data. Copy the data into a statistical software package and click the Data button a second time to hide it. Then perform an analysis of...

4)nterpret the results of the significance test. Is this result statistically significant? Is this result important from a practical perspective?

Extracted text: Directions: Click on the Data button below to display the data. Copy the data into a statistical software package and click the Data button a second time to hide it. Then perform an analysis of variance (ANOVA) to determine whether or not the differences in weight gain between the treatment groups is statistically significant. Data Control CBT Family 1.1 0.5 12.1 -1.2 -7.3 11.4 0.4 -3.5 3.5 -1.4 14.3 10.8 -4.4 -1.2 12.9 12.9 -11.7 -4.2 3.8 -13.7 0.9 17.4 10.2 8.9 -7.3 -6.2 23 2.4 6.3 -4.3 13.1 1.4 -2.9 7.9 -7.4 12.9 0.4 7.7 14.5 -5.2 2.4 7.6 20.7 11.1 3.8 -8 6.6 1 -1.9 10.7 -3.2 -10 2.3 -4.3 0.7 -7.5 -2 1.8 0.9 -0.6 1.2 2.6 10.7 5.2 2.1 16.7 5.1 -11.3 -0.3 16.5 -0.9


Extracted text: 1. State the null and alternative hypotheses. 2. Compute the test statistic. Document how SSTR and SSE were computed. Use 4 decimal places for the sample means, sample standard deviations and the grand mean and round your answers for SSTR and SSE to 2 decimal places. Edit - Insert Formats I X, A <> E- E E Σ Σ Use the values for SSTR and SSE to complete the following ANOVA table. Round each of your answers to 2 decimal places. Source S.S. df M.S. F Treatment Error Total 3. Compute the p-value. Provide the name of the distribution and the parameters used to compute the p-value. Then enter your answer rounded to 4 decimal places. p-value =