MATH 10041 Chapter Notes - Chapter 7: Central Limit Theorem, Random Number Table, Confidence Interval
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Surveys as a means of learning about the world. Learning outcomes math 10041 chapter 7. Understand the vocabulary of sampling: census, sample, statistics vs parameters, estimator, estimates, inference, bias in surveys, sampling bias, measurement bias, convenience sample, simple random sample, sampling without replacement; Explain the difference between a statistic and a parameter; Recognize the type of bias, measurement or sampling (convenience, non-response), given a sampling scenario; A population parameter is fixed, but sample statistics vary from sample to sample; Larger random samples are more likely to be representative of the population than smaller ones; There are three levels of data involved in taking random samples: the population, the individual samples, and the distribution of sample statistics; Sample statistics can be graphed and summarized in a distribution, just as raw data may be graphed and summarized; Understand the effect of sample size on the s. e. Although sample statistics vary from the population parameter, they vary in a predictable way;