Understanding Sampling Methods and Bias in Surveys
Learn about different sampling methods and bias in surveys to ensure accurate statistical information about a population. Topics covered include observational studies, controlled experiments, and survey techniques. Engage in discussions with peers to deepen your understanding of these concepts.
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Presentation Transcript
Warm up Within how many standard deviations of the mean do all of the data values fall? 12, 17, 15, 13, 9, 10, 12, 10, 15, 17
11-8 Samples & Surveys Objective To identify sampling methods To recognize bias in samples and surveys Essential Understanding: You can get good statistical information about a population by studying a sample of the population.
A sample has a bias when a part of a population is overrepresented or underrepresented. A bias is a systematic error introduced by the sampling method.
What is the sampling method used? Does the sample have a bias? Explain. Discuss with your neighbor.
What is the sampling method used? Does the sample have a bias? Explain. Discuss with your neighbor.
Study Methods: Observational Study: When members of a sample are observed or measured in such a way that they are not affected by the study. Controlled Experiment: When the sample is divided into two groups. A treatment is imposed on one group but not on the other control group. Then the effect on the treated group can be compared to the control group. Survey: When every member of the sample is asked a set of questions.
Analyzing Study Methods: Discuss with your neighbor.
What is the study method used? Does the sample have a bias? Explain. Discuss with your neighbor. p. 728: 7-15 odd
