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PracticeQuestions5 - Practice Questions 5 1 Random samples...

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Practice Questions 5 1. Random samples of size 36 are taken from an infinite population whose mean is 80 and standard deviation is 18. The mean and standard error of the sampling distribution of sample means are, respectively, A) 80 and 18 B) 80 and 2 C) 80 and 3 D) 36 and 2 2. The standard deviation of the sampling distribution of the sample mean is also called the 3. If all possible samples of size n are drawn from an infinite population with a mean of 20 and a standard deviation of 5, then the standard error of the sampling distribution of sample means is equal to 1.0 only for samples of size 4. A sample of size n is selected at random from an infinite population. As n increases, which of the following statements is true? 5. Sampling distributions describe the distribution of A) population parameters B) sample statistics C) both parameters and statistics D) neither parameters nor statistics 6. If a random sample of size n is drawn from a normal population, then the sampling distribution of sample means will be: 7. If all possible samples of size n are drawn from a population, the probability distribution of the sample means is called the:
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8. Why is the Central Limit Theorem important in statistics?
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