You may need to use the appropriate technology to answer this question. Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 36 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 12 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST = 12,620; SSTR = 4,520. (a) 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 places.) Source Sum Degrees Mean p-value of Variation of Squares of Freedom Square Treatments Error Total (b) Use a = 0.05 to test for any significant difference in the means for the three assembly methods. State the null and alternative hypotheses. OH₂H₂H₂ Hy ⒸHg! H₂H₂H₂ H: Not all the population means are equal. O Hg! H₂H₂H₂ OH,: Not all the population means are equal. H₂H₂H₂H₂ OH: At least two of the population means are equal. H: At least two of the population means are different. 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 Reject H. There is not sufficient evidence to conclude that the means of the three assembly methods are not equal. O Do not reject H. There is not sufficient evidence to conclude that the means of the three assembly methods are not equal. O Do not reject H. There is sufficient evidence to conclude that the means of the three assembly methods are not equal. Reject H. There is sufficient evidence to conclude that the means of the three assembly methods are not equal.

How to decide one or Two Samples?

Describe the ANOVA approach for testing differences in sample means.

What is the best point estimate for the population's variance if the sample variance is 41?

how to find the Variance for CBT and variance for BT，show step by step please

Background: The butterfat content of random samples of Guernsey, Holstein and Jersey cows are provided below. Each data value represents the percentage butterfat. Directions: Perform an analysis of variance (ANOVA) to determine if the differences in the percentage butterfat of the different breeds of cows is statistically significant. 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.Data Guernsey Jersey Holstein 4.59 5.03 3.22 5.2 6.55 3.67 5.61 5.27 3.61 5.04 4.44 3.92 4.72 5.33 4.21 4.64 5.49 3.77 4.53 5.43 3.12 3.92 4.93 3.95 5.09 5.17 3.54 4.67 4.98 3.5 5.24 5.96 3.89 4.56 5.28 3.71 4.76 5.31 3.81 4.98 4.74 3.33 4.72 5.08 3.91 4.61 4.17 3.95 4.82 6.06   5.36 4.86   5.45     6.18     Choose the correct null and alternative hypotheses. H0: μ1=μ2=μ3H0: μ1=μ2=μ3Ha: μ1,μ2,μ3Ha: μ1,μ2,μ3 are not all equal. Ha: μ1,μ2,μ3Ha: μ1,μ2,μ3 are…