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: behind KEYWORDS: statistics, try out distribution 2. The step error of the miserly a) is never sizeabler than the standard difference of the population. b) decreases as the ideal size increases. c) measures the variability of the sloshed from example to try out. d) all of the in a higher place ANSWER: d TYPE: MC DIFFICULTY: comfortable 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 stress distribution distribution of the sample mean is approximately normal, unheeding of the sample size. c) for a large n, it says the take 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 go down 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 note travelers, unity of the biggest complaints involves the waiting time between when the airplane taxis out-of-door from the terminal figure until the flight takes off. This waiting time is know to prevail a skewed-right distribution with a mean of 10 minutes and a standard deviation of 8 minutes. estimate 100 flights have been randomly sampled. Describe the sampling distribution...If you urgency to get a full essay, order it on our website: BestEssayCheap.com

If you want to get a full essay, visit our page: cheap essay