GGR270H1 Lecture Notes - Lecture 7: Sample Size Determination, Confidence Interval, Test Statistic

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11 Dec 2012
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October 31 lecture 7 (importnat for exam) We are 95% or watever confident that our sample will fall in the following range. For 95% confidnent there is 5% chance it wont be. If we undertook a sample, --> 95% will contain population parameter and 5% of them wont. When dealing with sampling distribution the numbers above are the ones that are always needed and be used. If we have a 95% confidence then there is 5% significance. The only way we could have it all high level of confidence and high level of precision is to increase the number of sample size it gets steaper , the small distribution around the mean. Therefore, the smaller the number of error . Therefore we could be more precise in our. Accuracy means --> does our sample actually reflect the. How close our smaple really easy to our population sample. not sure. Total amount of information is due to:

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