Chapter_08 - Chapter 8 Producing Data: Sampling BPS - 5th...

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BPS - 5th Ed. Chapter 8 1 Chapter 8 Producing Data: Sampling
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BPS - 5th Ed. Chapter 8 2 Researchers often want to answer questions about some large group of individuals (this group is called the population ) Often the researchers cannot measure (or survey) all individuals in the population, so they measure a subset of individuals that is chosen to represent the entire population (this subset is called a sample ) The researchers then use statistical techniques to make conclusions about the population based on the sample Population and Sample
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BPS - 5th Ed. Chapter 8 3 Bad Sampling Designs Voluntary response sampling allowing individuals to choose to be in the sample Convenience sampling selecting individuals that are easiest to reach Both of these techniques are biased systematically favor certain outcomes
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BPS - 5th Ed. Chapter 8 4 Voluntary Response To prepare for her book Women and Love , Shere Hite sent questionnaires to 100,000 women asking about love, sex, and relationships. 4.5% responded Hite used those responses to write her book Moore ( Statistics: Concepts and Controversies , 1997) noted: respondents “were fed up with men and eager to fight them…” “the anger became the theme of the book…” “but angry women are more likely” to respond
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BPS - 5th Ed. Chapter 8 5 Convenience Sampling Sampling mice from a large cage to study how a drug affects physical activity lab assistant reaches into the cage to select the mice one at a time until 10 are chosen Which mice will likely be chosen? could this sample yield biased results?
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BPS - 5th Ed. Chapter 8 6 Simple Random Sampling Each individual in the population has the same chance of being chosen for the sample Each group of individuals (in the population) of the required size (
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This note was uploaded on 08/27/2011 for the course MA 116 taught by Professor Muntheralraban during the Summer '11 term at Montgomery CC.

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Chapter_08 - Chapter 8 Producing Data: Sampling BPS - 5th...

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