Statistics homework help.
- Define Common cause variation.
- Define assignable cause variation.
- In the day to day operations of the process why is it important that we understand if the variation we see in a product/process comes from common or assignable cause situations?
- Define a population.
- Define a sample:
- Define a random sample:
- Define a stratified sample and give one example.
- For the following set of sample data calculate each of the values below:
Sample data set: 11, 10, 8, 13, 14, 12, 11, 11, 13, 11, 11
Mean:
Median:
Mode:
Range:
- What are the two key principles you try to follow when conducting a brainstorming session? (4 points)
- Create a Pareto Diagram from the following data.
| Type of Defect | Number of Defects |
| Overesize Diameter | 20 |
| Undersize Diameter | 6 |
| Rusty | 14 |
| Scratched | 5 |
| Excessive Tool Marks | 11 |
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- What advantage does a Cause & Effect Diagram offer over traditional brainstorming sessions?
- Determine the area under the normal curve for each of the following conditions. Diagram required.
- Area under the curve > Z = 1.34
- Area under the curve between Z = -2.15 and Z = -0.45
- Area under the curve < Z = 1.89
- Area under the curve < Z = -1.65 and > Z = 2.10 (Note: both areas)
13) The output for a normally distributed process results in an average size of 43 Rc with a standard deviation of 2.1 Rc”. If the customer specifications are 40 Rc to 52 Rc, are there defective products being made? Mathematical analysis required for credit.
- What is a requirement of the data collections process to be able to use a “run” chart? (4 points)
- If the customer specifications are in pounds and are 13.00 ± 0.15, given the following histogram, are defective parts being made? Justify your answer to receive credit. (4 points)
