O(d) Compute the mean square due to error. (Round your answer to two decimal places.)(e) Set up the ANOVA table for this problem. (Round your values for MSE and F to two decimal places, and your p-value to four decimal pSourceof VariationDegreesof FreedomMeanSquareTreatmentsErrorTotalSumof Squares25741O HO HA HB HcH: HA HB HCX216Hoi HAHB "cH: Not all the population means are equal.18O Ho: Not all the population means are equal.H₂HAHHCO Ho: MAHB HcH₂HA HB HCOHO: HA HB HCHai HA HB #C(f) At the a 0.05 level of significance, test whether the means for the three treatments are equal.State the null and alternative hypotheses.✔• HO HA" HB - исH: Not all the population means are equal.O Ho: Not all the population means are equal.Ha: MAHB HcxShow Transcribed Textx(f) At the a= 0.05 level of significance, test whether the means for the three treatments are equarState the null and alternative hypotheses.FO Ho: At least two of the population means are equal.H: At least two of the population means are different.p-valueFind the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to four decimal places.)p-value=State your conclusion.O Do not reject Ho. There is sufficient evidence to conclude that the means for the three treatments are not equal.Reject Ho. There is sufficient evidence to conclude that the means for the three treatments are not equal.O Do not reject Ho. There is not sufficient evidence to conclude that the means for the three treatments are notequal.O Reject Ho. There is not sufficient evidence to conclude that the means for the three treatments are not equal. You may need to use the appropriate technology to answer this question.The following data are from a completely randomized design.SamplemeanSamplevarianceA161141166144147171Treatment155B142156142137124 138145C141127121140150122133158.8 109.6 132.8(a) Compute the sum of squares between treatments.2574X(b) Compute the mean square between treatments.143X(c) Compute the sum of squares due to error.

Question

O(d) Compute the mean square due to error. (Round your answer to two decimal places.)(e) Set up the ANOVA table for this problem. (Round your values for MSE and F to two decimal places, and your p-value to four decimal pSourceof VariationDegreesof FreedomMeanSquareTreatmentsErrorTotalSumof Squares25741O HO HA HB HcH: HA HB HCX216Hoi HAHB &#34;cH: Not all the population means are equal.18O Ho: Not all the population means are equal.H₂HAHHCO Ho: MAHB HcH₂HA HB HCOHO: HA HB HCHai HA HB #C(f) At the a 0.05 level of significance, test whether the means for the three treatments are equal.State the null and alternative hypotheses.✔• HO HA&#34; HB - исH: Not all the population means are equal.O Ho: Not all the population means are equal.Ha: MAHB HcxShow Transcribed Textx(f) At the a= 0.05 level of significance, test whether the means for the three treatments are equarState the null and alternative hypotheses.FO Ho: At least two of the population means are equal.H: At least two of the population means are different.p-valueFind the value of the test statistic. (Round your answer to two decimal places.)Find the p-value. (Round your answer to four decimal places.)p-value=State your conclusion.O Do not reject Ho. There is sufficient evidence to conclude that the means for the three treatments are not equal.Reject Ho. There is sufficient evidence to conclude that the means for the three treatments are not equal.O Do not reject Ho. There is not sufficient evidence to conclude that the means for the three treatments are notequal.O Reject Ho. There is not sufficient evidence to conclude that the means for the three treatments are not equal. You may need to use the appropriate technology to answer this question.The following data are from a completely randomized design.SamplemeanSamplevarianceA161141166144147171Treatment155B142156142137124 138145C141127121140150122133158.8 109.6 132.8(a) Compute the sum of squares between treatments.2574X(b) Compute the mean square between treatments.143X(c) Compute the sum of squares due to error.

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