Question 1:
(a) An accurate sampling distribution for the mean statistic can always be identified based on a single sample without regard for sample size or knowledge of the population sampled.(b) A sampling distribution is necessary for making confidence statements about an unknown population parameter.(c) Depending on the population, it may not be possible to express the sampling distribution for a statistic in closed form mathematically.(d) A sampling distribution depends on the nature of the population being sampled.Question 2: (I believe that answer (a) is the answer)(a) If the sample size is held constant and the same test statistic is used, the type I error rate can be changed and not affect the power of the test.(b) The sampling distribution of a statistic is the probability distribution for that statistic based on all possible random samples from a population.(c) A symmetric, heavy-tailed distribution may be detected using a boxplot and QQ chart.(d) Bootstrapping depends on sampling with replacement.
Both answers are options A (both option A are false statements)
the claim is that the white blood cell count of adult females are normally distributed, with a standard deviation equil to 1.63, and a random sample of 42 adult females have white blood cell count with a mean of 7.45, and a standard deviation of 2.23, find the value of test statistic?
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