B. We will now look at some hypothetical (not real) data of performance of males and females on a mathematics test. Use Rstudio to load the data from MTH_.csv. Unlike part A above, you are given raw data (not table summary). In the worksheet, student's sex had labels F for female, and M for male. The mathematics test scores were categorized as mathematics levels 1-6. The levels are ordered from 1 being the lowest (introductory) to 6 being the highest (advanced). As an example, think of MSU mathematics placement test, where scores in certain ranges correspond to students placing into courses of various levels: algebra, pre-calculus, calculus, etc. For example, the first row of data corresponds to a female who had math test score of level 1. To compare the performance of males and females on this mathematics test, consider the hypotheses: H0: males and females have the same distribution of their math score level versus Ha: not so