To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow.Temperature50°C60°C70°C323429223534343834372736303137a. Construct an analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary).Source of Variation Sum of Squares Degrees of Freedom Mean SquareFp-valueTreatmentsErrorTotal Source of Variation Sum of Squares Degrees of Freedom Mean Squarep-valueTreatmentsErrorTotalb. Use a .05 level of significance to test whether the temperature level has an effect on the mean yield of the process.Calculate the value of the test statistic (to 2 decimals).The p-value is- Select your answer -What is your conclusion?- Select your answer -10000

I am using Excel and the command is as follows Data > Data analysis > Anova : single factor > Select the data > ok __________________________________________________________________ Anova: Single Factor SUMMARY Groups Count Sum Average Variance 50C 5 155 31 32 60C 5 165 33 17.5 70C 5 170 34 9.5ANOVA Source of Variation SS df MS F P-value Treatments 23.33 2 11.67 0.59 0.5680 Error 236.00 12 19.67 Total 259.33 14 ____________________________________________________________________________ b) Test- stats (F) = 0.59 ________________________________ c) p-value is Greater than the significance level ____________________________________ d) Do not reject Ho We have enough evidence to conclude that means are equal