MATH 10041 Chapter Notes - Chapter 9: Central Limit Theorem, Confidence Interval, Normal Distribution
1 Apr 2019
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Learning outcomes math 10041 chapter 9. Answering questions about the mean of a population. A population parameter is fixed, but sample statistics vary from sample to sample; 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; Understand how the central limit theorem describes the shape, center, and spread of sampling distributions of sample statistics; Understand the similarities and differences between the standard normal distribution and the t- distributions. Understand that a confidence interval is an estimate of a parameter, with a margin of error; Understand what 95% refers to in a confidence interval. Understand the logic and framework of the inference of hypothesis testing.
