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I describe the standard normal distribution and its properties with respect to the percentage of observations within each standard deviation. I also make reference to two key statistical demarcation points (i.e., 1.96 and 2.58) and their relationship to the normal distribution. Finally, I mention two tests that can be used to test normal distributions for statistical significance. normal distribution, normal probability distribution, standard normal distribution, normal distribution curve, bell
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Consider the data in Exercise 4.4.3. Obtain the normal q-q plot for these data. Does the plot suggest that the underlying distribution is normal? Use the plot to determine, if any, what quantiles associated with a different theoretical distribution would lead to a more linear plot. Then obtain the plot. | Numerade
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