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Section 1 Week in Review 2011

# Section 1 Week in Review 2011 - AEM 2100 Spring 2011 WEEK...

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AEM 2100, Spring 2011 WEEK IN REVIEW Jan 31 – Feb 3 SECTION 1 D ata: Values that are collected, analyzed, and summarized- the observed outcomes of random variables . Data Set: Collection of data for a particular study. Element: Entities on which data are collected (i.e. houses, people, animals) Observation: Set of measurements collected for a particular element . (i.e. the set of measurements for each house, person, animal) Random Variable: An uncertain quantity whose value depends on chance. (i.e. the actual measurements collected) Note : The value of the random variable will vary from trial to trial as the experiment is repeated. Qualitative : Nonnumeric data that can be classified into a group of categories. These types of data are labels or names used to identify an attribute of each element. (Bar or pie charts are often used to describe qualitative data graphically) Nominal : Distinguishes objects or events by name Ordinal : Items can be ranked, but there is no fixed unit of measurement. Objects or events are distinguished from one another on the basis of the relative amounts of some characteristic they possess (i.e. 1 st , 2 nd , 3 rd place) Quantitative : Numeric data that indicates how much or how many of something. (See description methods for quantitative data below)

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• Spring '08
• VANES,C.
• Probability distribution, Discrete probability distribution, relative frequency, cumulative relative frequency

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