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Inferential statistics-estimation
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### Note There are two more blanks than letters as choices. ___ Stand.pdf

1. Note: There are two more blanks than letters as choices. ___ Standard Normal Distribution ___ t-Distribution ___ Wider ___ t-test ___ Probability Density Function ___ p-value method ___ Opposites ___Equality Sign ___ Critical Value ___Parameters ___ discrete; continuous ___continuous; discrete ___ Z test ___Doubling A.One example of a difference between discrete random variables and continuous random variables is that in a discrete distribution P(x > 2) = P(x = 3) while in a continuous distribution P(x > 2) is treated the same as P(x = 2). B.The probability distribution for a continuous random variable is represented by a probability density function that defines a curve. C.The parameters of a normal distribution are the mean and the standard deviation. D.The standard normal distribution has a mean of 0 and a standard deviation of 1.0. E.The higher the level of confidence, the wider the confidence interval must be. F.The t-distribution is used to obtain the critical value in developing a confidence interval when the population distribution is not known and the sample size is small Solution Discrete;Continuous - A (Although this is not even close to being true) Probability Density Funciton - B Parameters - C Standard Normal Distribution - D Wider (? - what is wider?) - E T-test - F
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