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6. The of an interval estimate of a parameter is the probability that the interval estimate will contain the parameter, assuming that large number of

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6. The of an interval estimate of a parameter is the probability that the interval estimate will contain the parameter, assuming that large number of samples are selected and that the estimation process on the same parameter is repeated. A. alpha level B. confidence level C. reciprocal D. inverse E. none of the above 7. Which of the following is a bogus statement about the T distribution: A. It is bell-shaped B. It is asymmetrical about the mean C. The mean, median, and mode are equal to 0 and located at the center of the distribution. D. The curve never touches the X axis. E. Both A and C 8. The T distribution differs from the standard normal distribution in all the following ways except: A. The T distribution is actually a family of curves based on the concept of degrees of freedom, which is related to sample size. B. The variance is less than 1 C. As the sample size increases, the T distribution approaches the standard normal distribution D. Both A and B 9. The T distribution is a family of curves based on A. Central Limit Theorem B. degrees of freedom C. Empirical Rule D. standardization E. none of the above 10. The sampling distribution of p is A. approximately normal with a mean of q B. approximately normal with a mean of p C. approximately skewed with a mean of q D. approximately skewed with a mean of n E. approximately normal with a mean of n 1 1. Degrees of freedom are used for which distribution? A. Normal distribution B. T Distribution C. Uniform distribution D. Standard Normal distribution E. both A and B

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