Question

In: Statistics and Probability

You are the production manager at a parachute manufacturing company. Parachutes are woven in your factory...

You are the production manager at a parachute manufacturing company. Parachutes are woven in your factory using a synthetic fiber purchased from 1 of 4 different suppliers. The factory uses 2 types of looms, the Athenian and the Spartan. You are concerned about the consistency of parachute strength, so you measure the strength for 5 parachutes made with each of the 4 fiber suppliers, using each of the 2 looms.

Perform an ANOVA with these data for main effects and interaction effects.
Use Minitab software to find the solution.

Strength Supplier Loom
20.6 1 Athenian
18.0 1 Athenian
19.0 1 Athenian
21.3 1 Athenian
13.2 1 Athenian
18.5 1 Spartan
24.0 1 Spartan
17.2 1 Spartan
19.9 1 Spartan
18.0 1 Spartan
22.6 2 Athenian
24.6 2 Athenian
19.6 2 Athenian
23.8 2 Athenian
27.1 2 Athenian
26.3 2 Spartan
25.3 2 Spartan
24.0 2 Spartan
21.2 2 Spartan
24.5 2 Spartan
27.7 3 Athenian
18.6 3 Athenian
20.8 3 Athenian
25.1 3 Athenian
17.7 3 Athenian
20.6 3 Spartan
25.2 3 Spartan
20.8 3 Spartan
24.7 3 Spartan
22.9 3 Spartan
21.5 4 Athenian
20.0 4 Athenian
21.1 4 Athenian
23.9 4 Athenian
16.0 4 Athenian
25.4 4 Spartan
19.9 4 Spartan
22.6 4 Spartan
17.5 4 Spartan
20.4 4 Spartan

Solutions

Expert Solution

We perform a two way ANOVE to test if there is a significant effect due to the factors and if there a significant interaction effect.

The two factors are "4 fiber suppliers" (levels (1,2,3,4 ) and the 2 "looms".(level Athenian and Spartan)

The steps to do two way ANOVA in minitab is as follows:

  1. Open mintab and feed the data into the cells provided giving appropriate Column names.
  2. From the toolbar above depending on whether you have minitab 16 or a higher version select the appropriate option:
  3. Now in the options that come in the "Responses" tab select the option "Strength" from the options on the side, and in the "Factors" tab select the option "Supplier" and "Loom" from the options on the side.
  4. Then click on the option "Model" from below. In the dialogue box that appears you will see the following:
  5. Put two in the interactions option. Select both "Supplier" and "Loom" in the terms in the model option and lick on the add the button on the Cross factors, covariates, and terms in the model line). This will add the interaction term between the two factrs into the Terms in the model: box, as shown below:
  6. Click on "OK" to return to the General linear model dialogue box and click on "OK" again to display the results.

The ANOVA table obtained should have the following values:

From the above table we see that there is a significant effect due on the strength of the parachuttes due to the "Supplier" Type however there is no significant effect on the strength of the parachuttes due to the "Loom" types and also there is no significant interaction effect between the "Supplier" and "Loom" effects.


Related Solutions

Sky High Parachute Company sells parachutes. As of January 1, Sky High had no beginning merchandise...
Sky High Parachute Company sells parachutes. As of January 1, Sky High had no beginning merchandise inventory. In the first quarter of 2020, Sky High sold 6,500 parachutes. The company’s sales forecast for the remainder of 2020 (in units) is: Quarter 2: 7,000        Quarter 3: 7,500          Quarter 4: 9,000 Sky High’s selling price is $400 per parachute. All sales are credit sales. Sky High collects 85% of its sales in the quarter in which it made the sales...
You are the production manager for a part manufacturing company. There are 2 manufacturing locations, plant...
You are the production manager for a part manufacturing company. There are 2 manufacturing locations, plant A and B. you suspect there is a difference in the proportion of rejected parts that are manufactured at Plant A as compared to plant B. for a week you observed: Plant A Plant B total Rejected parts 120 80 200 Acceptable parts 1880 1920 3800 2000 2000 4000 The proportion of rejected parts was 200/4000=5%. If there were no difference between the proportion...
You work for a candy company and the manufacturing manager claims that the production line produces...
You work for a candy company and the manufacturing manager claims that the production line produces bags of candy with an average of exactly 50 candies per bag.   You are skeptical about this and you decide to test the claim by counting the candies in a sample of 25 bags. You discover in your sample that x = 48and s = 5. Determine whether or not you have enough statistical evidence to reject the manager's claim with a significance level...
Inventory Control You are the production manager of GVT Manufacturing, a company that manufactures a wide...
Inventory Control You are the production manager of GVT Manufacturing, a company that manufactures a wide range of products, including fire extinguishers. Data shows that GVT is projected to manufacture 30,000 of these fire extinguishers next year. A production-year for GVT covers 300 days. Information on the product also reveals that each extinguisher requires one handle. Additional information gleaned from the production records shows the following: annual carrying cost per handle is US$1.50; production setup cost is US$150 and daily...
You are the production manager for Delta Paint, a regional manufacturing company that specializes in customized paints.
  You are the production manager for Delta Paint, a regional manufacturing company that specializes in customized paints. Your company sells paint by the gallon, and you have the task of forecasting the best production blends to maximize profit and most effectively utilize resources. Instructions:For the purpose of grading the project you are required to perform the following tasks: Step Instructions Points Possible 1 Open the download file exploring_e06_grader_Capstone.xlsx. 0.000 2 Create appropriate range names for Total Production Cost (cell B18) and...
A manufacturing company wish to solve a problem in its production line. The production manager develops...
A manufacturing company wish to solve a problem in its production line. The production manager develops a hypothesizes test to make sense in general manager’s mind. Production manager use the information below: The null and alternative hypothesis of ?0: ?=0 versus ?1: ? ≠ 0 A sample correlation of 0.35 for a random sample of size n = 40 (Confidence level is %90). Test the null hypothesis based on the given information above.
Imagine you are the manager of operations for a manufacturing company. Your vice president wants to...
Imagine you are the manager of operations for a manufacturing company. Your vice president wants to expand production by building a new facility, and she would like you to develop a business case for the project. Assume that your company’s weighted average cost of capital is 13%, the after-tax cost of debt is 7%, preferred stock is 10.5%, and common equity is 15%. As you work on the business case, you surmise that this is a fairly risky project because...
Assume that you are a manager in a factory and your supervisor has asked you increase...
Assume that you are a manager in a factory and your supervisor has asked you increase productivity without hiring additional workers or incurring overtime. Describe how you could motivate the existing workers using one content perspective and one process perspective. Support your answer.
The production manager for the XYZ manufacturing company is concerned that the customer orders are being...
The production manager for the XYZ manufacturing company is concerned that the customer orders are being shipped late. He asked one of his planners to check the timeliness of shipments for 900 orders. The planner randomly selected 900 orders and found that 100 orders were shipped late. Construct the 99% confidence interval for the proportion of orders shipped late.
The production manager for the XYZ manufacturing company is concerned that the customer orders are being...
The production manager for the XYZ manufacturing company is concerned that the customer orders are being shipped late. He asked one of his planners to check the timeliness of shipments for 900 orders. The planner randomly selected 900 orders and found that 180 orders were shipped late. Construct the 95% confidence interval for the proportion of orders shipped late. Please show all work, please type so it is legible, thank you
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT