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. Use the values for SSTr and SSE to complete the following ANOVA table. Round each of your answers to 2 decimal places. (image of table) 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. 4.Interpret the results of the significance test. Is this result statistically significant? Is this result important from a practical perspective?
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.
Use the values for SSTr and SSE to complete the following ANOVA table. Round each of your answers to 2 decimal places. (image of table)
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.
4.Interpret the results of the significance test. Is this result statistically significant? Is this result important from a practical perspective?



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