Stats

CHAPTER 7: SAMPLING DISTRIBUTIONS 1. Sampling distributions describe the distribution of a) parameters. b) statistics. c) some(prenominal) parameters and statistics. d) incomplete parameters nor statistics. ANSWER: b TYPE: MC trouble: comfortable KEYWORDS: statistics, try out distribution 2. The step error of the wet a) is never sizeabler than the standard difference of the population. b) decreases as the ideal size increases. c) measures the variability of the reckon from example to try out. d) all of the preceding(prenominal) ANSWER: d TYPE: MC DIFFICULTY: free KEYWORDS: standard error, mean 3. The Central Limit Theorem is important in statistics because a) for a bounteous n, it says the population is approximately normal. b) for any population, it says the try distri bution of the specimen mean is approximately normal, unheeding of the sample size. c) for a large n, it says the sample distribution distribution of the sample mean is approximately normal, regardless of the shape of the population. d) for any sized sample, it says the sampling distribution of the sample mean is approximately normal.

ANSWER: c TYPE: MC DIFFICULTY: Difficult KEYWORDS: central ascertain theorem 4. If the expectation of a sampling distribution is located at the parameter it is estimating, then we call that statistic a) unbiased. b) stripped variance. ! c) biased. d) random. ANSWER: a TYPE: MC DIFFICULTY: Moderate KEYWORDS: unbiased 5. For wrinkle travelers, unity of the biggest complaints involves the waiting time between when the airplane taxis forth from the terminal figure until the flight takes off. This waiting time is cognise to prevail a skewed-right distribution with a mean of 10 minutes and a standard deviation of 8 minutes. aver 100 flights have been randomly sampled. Describe the sampling distribution...If you compliments to get a full essay, order it on our website: BestEssayCheap.com

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