By Jose G. Ramirez Ph.D., Brenda S. Ramirez M.S.
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Additional resources for Analyzing and Interpreting Continuous Data Using JMP:: A Step-by-Step Guide
As the following examples show, a representative sample depends on the objective of the study and the sample should accurately represent the population. Please read the descriptions carefully. Which ones provide examples of samples that appear to be representative of the population? Which ones do not? Are the objectives clearly stated? 1. Objective: Develop a new marketing campaign for a popular soft drink. S. consumers of a popular soft drink. 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.
In some cases we can use sound engineering judgment based on past experiences, or use interpretations of data in order to (typically) make good decisions. This is usually the case if the signals in our systems are large, with respect to the noise in the system, or if Chapter 2: Overview of Statistical Concepts and Ideas 25 we can explain them with mechanistic models. That being the case, we still need to ask: how do we understand noise, how can we quantify it, study its effects, and maximize our signal-to-noise ratio?
Sample: 500 males, ages 35 and 50, diagnosed with high cholesterol, 10 pounds overweight, on a diet and exercise program. Chapter 2: Overview of Statistical Concepts and Ideas 37 3. Objective: Understand the largest sources of variation in bond strength that occur in the lamination step. 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.
Analyzing and Interpreting Continuous Data Using JMP:: A Step-by-Step Guide by Jose G. Ramirez Ph.D., Brenda S. Ramirez M.S.