Someone just sent me a data set that I need to assess for normality. Which of the following techniques would be inappropriate to use? Group of answer choices Create the mean +/-1 std. dev , mean +/- 2std dev, and mean +/- 3std dev intervals. Compare the percentage of data in the data set in these intervals to the expected 68%, 95%, and 100% Empirical Rule percentages. The closer the data is to these percentages, the more normal the distribution is. Create a stem-and-leaf plot and/or histrogram for the data and look to see if it appears normally distributed. Calculate the value of IQR/s . The closer this value is to 3, the more normal the data is. Create a normal probability plot for the data. If the resulting plot produces a straight line, then we would say the data is normally distributed.