Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP. Bhisham C. Gupta

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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP - Bhisham C. Gupta

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proofs and derivations

       Some statistical tables

       JMP files

       R exhibits

      This book is concerned with discussing these techniques and their applications for certain experimental situations. It begins at a level suitable for those with no previous exposure to probability and statistics and carries the reader through to a level of proficiency in various techniques of statistics.

      In all scientific areas, whether engineering, biological sciences, medicine, chemical, pharmaceutical, or social sciences, scientists are inevitably confronted with problems that need to be investigated. Consider some examples:

       An engineer wants to determine the role of an electronic component needed to detect the malfunction of the engine of a plane.

       A biologist wants to study various aspects of wildlife, the origin of a disease, or the genetic aspects of a wild animal.

       A medical researcher is interested in determining the cause of a certain type of cancer.

       A manufacturer of lenses wants to study the quality of the finishing on intraocular lenses.

       A chemist is interested in determining the effect of a catalyst in the production of low‐density polyethylene.

       A pharmaceutical company is interested in developing a vaccination for swine flu.

       A social scientist is interested in exploring a particular aspect of human society.

       A designed experiment

       A survey

       An observational study

       A set of historical data, that is, data collected by an organization or an individual in an earlier study

      We discuss the concept of a designed experiment with an example, “Development of Screening Facility for Storm Water Overflows” (taken from Box et al., 1978, and used with permission). The example illustrates how a sequence of experiments can enable scientists to gain knowledge of the various important factors affecting the problem and give insight into the objectives of the investigation. It also indicates how unexpected features of the problem can become dominant, and how experimental difficulties can occur so that certain planned experiments cannot be run at all. Most of all, this example shows the importance of common sense in the conduct of any experimental investigation. The reader may rightly conclude from this example that the course of a real investigation, like that of true love, seldom runs smoothly, although the eventual outcome may be satisfactory.

      1.1.1 Motivation for the Study

      To determine whether it was economical to construct and operate such a screening facility, the Federal Water Pollution Control Administration of the Department of the Interior sponsored a research project at the Sullivan Gulch pump station in Portland, Oregon. Usually, the flow to the pump station was 20 million gallons per day (mgd), but during a storm, the flow could exceed 50 mgd.

Two schematic diagrams illustrating the standard mode of operation (top) and modified mode of operation (bottom) of a sewage treatment plant.

      1.1.2 Investigation

      1.1.3 Changing Criteria

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