Answer Happy

You may need to use the appropriate technology to answer this question. The following data are from a completely randomized design. Sample mean Sample variance A 163 Source of Variation 142 Treatments 164 Error 145 Total 148 168 155 Treatment B 143 157 124 142 137 143 141 C 127 122 138 140 (a) Compute the sum of squares between treatments. 150 (b) Compute the mean square between treatments. Sum of Squares 121 (c) Compute the sum of squares due to error. 133 126.4 114.0 132.8 (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-va Degrees of Freedom Mean Square F p-value (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. OHà Hồ Họ H.: Not all the population means are equal. At least two of the population means are equal. H: At least two of the population means are different. OH H₁ HB Hc Hồ Hà Ngô H O H.: Not all the population means are equal. Hồ Hà ngô Ha ⒸH₁: H4 = Mg = Hc H₂H₁ * Mg #Mc Find 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 H. There is not sufficient evidence to conclude that the means for the three treatments are not equal. O Do not reject H. There is sufficient evidence to conclude that the means for the three treatments are not equal. O Reject H. There is not sufficient evidence to conclude that the means for the three treatments are not equal. O Reject H. There is sufficient evidence to conclude that the means for the three treatments are not equal. Need Help? Read It Submit Answer Watch It