- Consider again the data from Question 5 from the Week 8 lab. In a manufacturing plant, filtersare used to remove pollutants. We are interested in comparing the lifespan of 5 different types of filters. Six filters of each type are tested, and the time to failure in hours is given in the dataset filters (on the website, in csv format).
- Calculate s2.
- Calculate a 95% confidence interval for the difference in lifespan between filter types 3 and 4.
- Show that the hypothesis that the filters all have the same lifespan is testable.
- Test this hypothesis, using matrix theory.
- Test the same hypothesis using the linearHypothesis function from the car
- Derive a formula for a prediction interval for tT in the less than full rank model.
- Consider a one-way classification model with three levels. To test 1 = 2 = 3 we could use either of the following matrices:
.
Show that the test statistics formed using these two matrices are the same.
Hint: find A such that AC1 = C2.
- An industrial psychologist is investigating absenteeism among production-line workers, based ondifferent types of work hours: (1) 4-day week with a 10-hour day, (2) 5-day week with a flexible 8hour day, and (3) 5-day week with a structured 8-hour day. A study is conducted and the following data obtained of the average number of days missed:
Work plan
Number100 85 90
They also find s2 = 110.15.
- Test the hypothesis that the work plan has no effect on the absenteeism.
- Test the hypothesis that work plans 1 and 3 have the same rate of absenteeism.
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