Jose G. Ramirez Ph.D., Brenda S. Ramirez M.S.'s Analyzing and Interpreting Continuous Data Using JMP:: A PDF

By Jose G. Ramirez Ph.D., Brenda S. Ramirez M.S.

ISBN-10: 159994488X

ISBN-13: 9781599944883

I spent your time to learn this masterpiece and useful statistical book-Analyzing and interpretting non-stop facts utilizing JMP,Frankly i must say i used to be deeply attracted through the sensible wisdom and instance supplied, i must say this is often the best statistical publication that I ever learn. it is a solid commence for each technique engineer in an effort to enforce technique strong and able development actions, I hugely steered this e-book for anybody who's to profit functional statistic in addition to easy methods to function JMP software program successfully.

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Extra resources for Analyzing and Interpreting Continuous Data Using JMP:: A Step-by-Step Guide

Sample text

Outputs 3. Process knobs 4. 1 we should consider the following: • the inputs, or raw materials, that are consumed in the lamination step, including their important attributes or features • the output form and its key characteristics • the process knobs or settings that we have control over and that change the inputs in a particular way • the noise in the system or factors that we cannot control but that may affect the quality of the lamination Statistical thinking informs us that every time we use this laminator, using the same process settings, the bond strength or thickness of our rolled good laminates will vary.

Population: All relevant inputs, process knobs, and noise factors in the lamination system. Sample: Include variations in adhesive properties, temperature, speed, pressure, and different lots of raw materials according to a statistically designed experiment. 4. Objective: Ship customer orders with product that is fit-for-use and scrap non-conforming product. Population: All products manufactured and sold to customers. Sample: Two pieces randomly selected from each lot of 1,000 pieces in a production batch and inspected for defects.

Sample: 1,000 consumers, both males and females, of three different soft drinks from 29 states in New England, South, East, West, Mid-Atlantic, and Mid-West regions, ages 20 through 50. 2. Objective: Verify the efficacy of a new drug to reduce high cholesterol in obese adults between the ages of 25 and 55. Population: Obese males and females between 25 and 55, diagnosed with high cholesterol. Sample: 500 males, ages 35 and 50, diagnosed with high cholesterol, 10 pounds overweight, on a diet and exercise program.

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Analyzing and Interpreting Continuous Data Using JMP:: A Step-by-Step Guide by Jose G. Ramirez Ph.D., Brenda S. Ramirez M.S.

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