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Statistical Decision-Making Process: Decision Problem Statistical Plan Data Description and Summary Analysis and Conclusions Testing Validity of Results.

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Presentation on theme: "Statistical Decision-Making Process: Decision Problem Statistical Plan Data Description and Summary Analysis and Conclusions Testing Validity of Results."— Presentation transcript:

1 Statistical Decision-Making Process: Decision Problem Statistical Plan Data Description and Summary Analysis and Conclusions Testing Validity of Results If Yes, Solution to Decision Problem If No, Revise the Statistical Plan

2 A Statistical Plan Includes: Identification of a Data Base; Techniques for Describing the Data; A Means of Analyzing the Data; and Measures of Validity (Error) in Working with the Data

3 Data Base: Primary Data: Data collected by observation, experiment, simulation or from surveys Secondary Data: Data published by governmental, industrial or individual sources

4 Methods of Obtaining Data: Observation; Personal Interview; Telephone Interview; and Mail Questionnaires

5 Data Levels: Nominal, where numbers or symbols are used to describe an item or characteristic; Ordinal, where decision makers rank-order the observations; Interval, where the measurement of the distance between two data items is allowed; Ratio, where the data have a unique or zero point


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