When asked to analyze a data set, there is rarely one correct answer, but rather a collection of solutions that can be true depending on your question. This can make interpreting a data set seem very daunting, as you have a range of measures you can choose to calculate from the data. It's important to understand that it's not always appropriate to use one single measure for every data set, which can make analyzing data difcult. Which of the following are correct and can be considered a rule one must follow when choosing to use one statistic over another? If there aren't any extreme values or outliers, the Sample Mean may be the best, especially with large sample sizes If the goal is to find the highest frequency, or amount, of a certain variable, the Mode will probably be the best measure If the goal is to compare test grades of biology and chemistry classes, comparing the sample means of two classes might not be the best criteria. If the goal is to determine the variability of data, then variance can be used since it shows how far spread the data units are from the mean, i.e., big variances mean big spread. If there are outliers or extreme values, the Median may be the best measure of central tendency