Exam 1 SG - 1. What is the Central Limit Theorem? a. The...

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1. What is the Central Limit Theorem? a. The sampling distribution of the mean approaches a normal distribution as the same size increases, regardless of the shape of the original distribution. 2. What is a sampling distribution? a. A sampling distribution is the theoretical distribution of a statistic created if we were to draw an infinite number of samples. 3. Why is it important to know the properties of a sampling distribution? a. If we know the properties of the sampling distribution, we can determine the probability of obtaining sample means of various sizes. b. Using those probabilities we can determine if the sample mean is a common or rare event in terms of the sampling distribution c. We can make a decision about whether or not to reject the null hypothesis 4. How can we get more accurate results in a sampling distribution? a. By choosing a larger sample 5. Why do we need to know the difference between paired/independent samples? a.
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This test prep was uploaded on 04/14/2008 for the course PSC 103B taught by Professor Ferrer-caja during the Winter '08 term at UC Davis.

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Exam 1 SG - 1. What is the Central Limit Theorem? a. The...

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