28 = .0222. According to the central limit theorem, A, sample size is important

Question

28

= .0222. According to the central limit theorem, A, sample size is important when the population is not normally dfistributed B. increasing the sample size decreases the dispersion of the sampling distribution C. the sampling distribution of the sample means is unifor D. the sampling distribution of the sample means will be skewed The sample size is important. As the sample size is increased, the sampling distribution of sample means will approach a normal distribution. 28. For a standard normal distribution, what is the probability that z is greater than 1.75? A. 0.0401 B. 0.0459 C. 0.4599 D. 0.9599 29. The probability that z is greater than 1.75 is 0.0401, found by 0.5000-0.4599. Recall half the nrohahility above the mean, and half is below. Using the standard normal probability

Explanation / Answer

P(Z>1.75) = 1 - P(Z < 1.75)

= 1 - 0.9599 ( from standard normal table )

= 0.0401

So, the answer option A i.e. 0.0401

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