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Various methods for determining whether a variable follows a normal distribution. It delves into the use of histograms, boxplots, and qq plots to visualize and analyze data distribution. A clear explanation of each method and its effectiveness in identifying normal distribution patterns.
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When trying to determine probabilities, one must first assess whether the variable would have a normal distribution. Using the tools from this course, what are some methods that could be used to determine whether a variable has a normal distribution?
SundayJan 17 at 9:23pm Manage Discussion Entry Hello Dr. Phan and class Many methods exist for testing whether a variable has a normal distribution, and they include:
SundayJan 17 at 7:43pm Manage Discussion Entry Hello Professor & Class, The boxplot and normal probability plot are some methods that could be used to determine whether a variable has normal distribution due to if there no outlier is present in boxplot conclude the data follow normal distribution and the data fall around straight line in normal probability plot conclude the data follow normal distribution. The histogram, normal probability plot and boxplot methods could be used to determine whether a variable has a normal distribution. The symmetric shape of histogram conclude the data are normally distributed, the data fall around the straight line in normal probability plot follow normal distribution and there is no outlier present and box and whisker equal to the median in boxplot conclude data follow normal distribution.