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The lecture Sampling Distributions for Proportions and Means by David Spade, PhD is from the course Statistics Part 2. It contains the following chapters:
Which one of the following statements accurately describe a sampling distribution?
Which of the following is NOT one of the conditions for the use of the Normal Model to approximate the distribution of a sample proportion?
Which of the following is NOT true regarding the Central Limit Theorem?
Suppose we draw a random sample of size 100 from a population with a mean of 5 and a standard deviation of 10. What are the mean and the standard deviation of the distribution of the sample mean of this situation?
Which of the following is TRUE regarding the sampling distributions of means and proportions?
If the population size is 10, 000 then what sample size is required to meet the 10% condition?
In which of the following cases is the Success/Failure condition met?
According to the central limit theorem, what sample size is sufficient to assume that the data is normally distributed?
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