A production manager is investigating whether the operator training method (factor A) will affect the resulting output for a particular product. Three training methods were studied: a full-day workshop (most intensive), in-line training, and as-needed training (least intensive). Since the value of training likely depends on the operator experience level, experience level (factor B) was also studied. Five operators for each training method-experience level category were randomly chosen. The accompanying table shows the total output rates (in units produced) for the previous week.
a. Use Excel to generate the appropriate ANOVA table at the 5% significance level.
b. At the 5% significance level, can you conclude that there is interaction between the training method and operator experience level? Explain why this is reasonable from a practical standpoint.
c. Are you able to conduct tests based on the main effects? If yes, conduct them at the 5% significance level. If no, explain why. Explain why your conclusion is reasonable from a practical standpoint.

Experience Level (Factor B) Training Method (Factor A) Full-DayIn-Line Workshop Training As Needed Training 363 313 325 378 338 425 381 414 Under 3 months 492 405 408 384 447 370 482 478 435 489 501 511 433 439 495 457 523 539 497 562 518 567 533 588 3-6 months 422 526 526 525 577 547 Over 6 months 511 599 534