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.

Dr. Smith would like to know whether culture has a significant effect on people's self-esteem. The psychologist randomly selected 10 individuals from each of the following 4 different ethnic groups: Caucasian, African American, Latino, Asian. Each individual was given a standardized self-esteem questionnaire. The data from this study were examined using an analysis of variance. The ANOVA shows that MSwithin = 2 and SStotal = 132. Please generate a complete ANOVA table based on the information provided and answer Dr. Smith’s question. alpha = .01.

Identify the two factors that determine the persuasiveness of evidence.How are these two factors related to audit procedures, sample size, items to select, andtiming?

What is the advantage of removing the variability caused by individual differences in a within-subjects design?

Why do we use subscripts when working with two samples?

Outline the analysis of variance table for a 22 x 32 factorial design. Discuss how this design may be confounded in blocks. comment to student's scores

Explain the Representative Sample from a Population in Which the Variables Are Related?

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

Describe the conceptual overview of Analysis of Variance (ANOVA).