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The reason the Central Limit Theorem 1. The approximate 95% confidence interval for a population mean is: a. c. b. d. 2. The finite population correction factor, , should generally be used when: a. N is any finite size b. n is less than 5% of the population size N c. n is greater than 5% of the population size N d. n is any finite size 3. The reason the Central Limit Theorem (CLT) is such an important result in statistics is because: a. The CLT allows us to assume that the population distribution is approximately normal, provided n is reasonably large b. The CLT allows us to estimate the population mean without knowing the exact form of the population distribution, provided n is reasonably large c. The CLT allows us to construct confidence intervals for the population mean without knowing the exact form of the population distribution, provided n is reasonably large d. All of these options 4. The Central Limit Theorem (CLT) is generally valid for: a. n > 5 b. n > 10 c. n > 20 d. n > 30 e. any size n 5. The averaging effect means that as you average more and more observations from a given distribution, the variance of the average a. increases b. decreases c. is unaffected d. could either increase, decrease or stay the same Math Assignment Help, Math Homework help, Math Study Help, Math Course Help
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The reason the Central Limit Theorem
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