Multivariate normal

A sample of size n is taken from a population with an unknown distribution, with mean u and standard deviation O. Which of the following statements about the sample mean distribution is true? Select one: 0 8. Using the Central Limit Theorem, X approximately follows X . Nu. b. Using the Central Limit Theorem, Xexactly followsx - Ntu. C. without Using the Central Limit Theorem, X approximately follows > . N p. =] 0 d Without Using the Central Limit Theorem, Xexactly follower . No.5. Indicate which of the following statements are true or false. If false, please give a justication. 1. [a] The central limit theorem allows you to assume that your data is gene rated from a Normal distribution. 2. [b] The accuracy ofthe central limit theorem approximation increases as n tends to infinity. 3. [c] The accuracyr of the central limit theorem approximation increases as the standard error decreases. 4. [d] The central limit theorem cannot be applied to discrete [integer] valued data. QUESTION 7 According to the Central Limit Theorem. the distribution of which statistic can be approximately normal for any population distribution? What condition should the sample satisfy? ). The Central Limit Theorem approximates the sample mean X. It is applicable when the sample size n is sufficiently large. Ob. The Central Limit Theorem approximates the sample size n. It is applicable when the sample size of is not large. The Central Limit Theorem approximates the population mean . It is applicable when the sample size n is not large. Of The Central Limit Theorem approximates the population mean a. It is applicable when the sample size or is sufficiently large, Ce, The Central Limit Theorem approximates the sample mean X. It is applicable when the sample size is is not large. OL. The Central Limit Theorem approximates the sample size n. It is applicable when the sample size or is sufficiently large.\fWhat are the JMP commands that must be executed to get the regression line equation? A. Analyze-specialized modeling B. Analyze-distribution C. Analyze-fit y by x D. Multivariate methods-multivariate