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4. Which of the following statements is FALSE? a. The standard error of the estimate is affected by the standard deviation and the sample size.

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4. Which of the following statements is FALSE? a. The standard error of the estimate is affected by the standard deviation and the sample size. b. Given some population, as sample size increases the larger number of observations involved increases the value of the standard error. c. Sampling error is the difference between the sample mean and the population mean. d. For large samples, sampling distributions will be normally distributed. e. A p-value measures the area under a normal density function. 5. If samples are taken from a normally distributed population, the sampling distribution of the sample mean a. is normally distributed if sample size is large. b. is normally distributed. c. is uniformly distributed but not necessarily normal. d. is negatively skewed. e. is positively skewed

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