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7 Cards in this Set
- Front
- Back
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sampling
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Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Each observation measures one or more properties (weight, location, etc.) of an observable entity enumerated to distinguish objects or individuals. Results from probability theory and statistical theory are employed to guide practice.
The sampling process consists of 7 stages: Definition of population of concern Specification of a sampling frame, a set of items or events that it is possible to measure Specification of sampling method for selecting items or events from the frame Determine the sample size Implement the sampling plan Sampling and data collecting Review of sampling process |
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Central litmit theorem
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the larger the sample the more closely the sample represents the population
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Confidence Interval:
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the probability that the band of data around the sample mean contains the populations mean.
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example of confidence interval
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A 90% CONFIDENCE INTERVAL MEANS THER IS A 5 % CHANCE THE POUULATION MEAN IS ABOUVE THE INTERVAL AND THERE IS 5% CHANCE THAT IT IS BELWO TEH INTERVAL
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cORRELATIONS cOEFFICIENT (R) HOW WELL THE FUNCTION FITS THE___________
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DATA
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EXAMPLE 1; wHICH sample would be the most appropreate to use to determine the number of high school students who would use an afte school homewotrk club?
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A sample radomly selected from the student body.
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Example 20 In 2005 the mena score on the math part of the SAT was 520 and the standard deviation wa about 80 points Suppose that a student scored a 680 on the math portion of the test. Using the graph of the normal distrution below, whic of the following perce3ntiles best represents the rperformance on the test?
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98 percent do and understand the solution
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