Question: Select True OR False

Use the following to answer the multiple questions below. An outdoor replace manufacturer performs an experiment to compare the average time in minutes of three assembly methods for a parcular part. Each treatment group has an equal number of observations. The goal of this analysis is to see whether these methods differ in average time to assemble the part. Use the output to answer the following questions. Comparison of Method. for humbly trt Hhadil Motl'lndB Malta-dc . _._ Q. Based on the side-by-side boxplot, indicate whether the statement is a TRUE or FALSE description of the data. 0 Statement 1. Each method has at least one outlier. [salad] \"l 0 Statement 2. Methods B and C have overlapping interquartile ranges.' [59'9\"] \"l 0 Statement 3. Method A has the slowest assembly times. | [salad] " l 0 Statement 4. Method B has the largest interquartile range of the methods.' [59'9\"] " D-F Sum Sq Mean Sq F value Pr'(>F) treatment 2 512.8 255.98 25.36 2.1969 *** Residuals B? 8?3.1 18.89 Q. From the SingleFactorANOVA table, match the value with what it represents. The average within group variation, MSE = [salad] The average between group variation, MSTR = [Select] Q. Which of the following is TRUE for Single Factor ANOVA in this example? 0 Option A. The null hypothesis is Ho : 5:1 2 E3 2 E3 0 Option B. The number of observations in each sample is 37. 0 Option C. When we perform the test we always assume the population means are different. 0 Option D. When we perform the test we assume the populations are independent. 0 Option E. All of the above are TRUE. The correct option is [ Select] Q. Based on the F test statistic and p-value from the Single-Factor ANOVA table, indicate whether the statement is a TRUE or FALSE conclusion of the test. 0 Statement 1.There is no evidence the average assembly times of at least two methods are different. [ Select ] v 0 Statement 2.We should perform a multiple comparisons procedure to see which means differ from each other. [ Select ] v 0 Statement 3.The F test statistic comes from an F distribution of 2 and 87 degrees of freedom. [salad] "