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A pharmaceutical manufacturer is designing an experiment to test four different capsule ingredients designed to reduce dissolution time. Each ingredient will be tested at 10 milligrams and 40 milligrams. A full factorial design is used with five replications per run. The number of levels, factors and runs is, respectively:

A higher resolution number for an experimental design indicates that:

The following data were collected on the diameters of turned shafts: 2.506 2.508 2.505 2.505. These values are:

I. Attribute data

II. Discrete data

III. Variables data

IV. Continuous data

A project activity not on the critical path has required 20% longer than the time originally allocated. The project team should:

There are 14 different defects that can occur on a completed time card. The payroll department collects 328 cards and finds a total of 87 defects. DPMO =:

The Central Limit Theorem states that the distribution of sample means approximates a normal distribution if:

Intuitively, which factor A or B seems most likely to be significant?

A machine tool vender wants to sell an injection molding machine. The current machine produces 3.2% defectives. A sample of 1100 from the vender’s machine has 2.9% defective. Do these numbers indicate that the proposed machine has a lower rate of defectives?

When comparing two vendors’ machines it is found that a sample of 1000 parts from machine A has 23 defectives and a sample of 1300 parts from machine B has 36 defectives. Do the data indicate that machine B has a higher rate of defectives?

Find the value of (4) in the ANOVA table. Assume: