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Terms for Exam 3 - distribution converges to the population...

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Terms for Exam 3 Distribution of the Mean Get this by repeatedly sampling the same population with the same number of observations Sampling error The amount of error or the difference between sample statistic and the corresponding population parameter Standard Error of the Mean The standard deviation of the distribution of possible sample means for all samples of size N drawn from a specified population Central limit theorem Given a standard distribution with a mean and variance the sampling distribution of the mean approaches a normal distribution with and mean and variance as N, the sample size increases As the sample size increases the mean of the sampling
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Unformatted text preview: distribution converges to the population distribution mean Law of large numbers The larger a sample the more it will accurately reflect a population-the larger the sample size the smaller the standard error Z vs T Tests Z tests the standard deviation is KNOWN T tests the standard deviation is UNKNOWN *T STATISTIC ESTIMATES STANDARD ERROR BY USING THE SAMPLE STANDARD DEVIATION-in a T test the denominator and the numerator vary from sample to sample *Z TEST USES THE POPULATION STANDARD DEVIATION-the numerator varies from sample to sample the denominator is constant Degrees of freedom The number of items left in a sample that are free to vary...
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