A researcher wanted to examine a new class of drug that has the potential to lower cholesterol levels and thus help against heart attack. Due to the specific molecular mechanisms by which this new class of drugs work, the researcher hypothesized that the new class of drug might affect males and females differently, as well as those at various risks of a heart attack (low risk for a potential heart attack, high risk for a potential heart attack, or has already had a heart attack in the past). There were three different types of drug within this new class of drug, but the researcher was unsure which would be more successful. Therefore, the researcher recruited 90 participants, split evenly between males and females. Males and females were further (equally) subdivided into whether they were at low risk of a potential heart attack, high risk of a potential heart attack or have already had a heart attack in the past. Each of these subgroups then received one of the three different drugs (Lipitor, Zocor, and Crestor). After one month on the different drugs, cholesterol concentration was measured (in mmol/L). The researcher wants to understand how the independent variables (i.e., sex, drug type, heart attack risk) interact to predict cholesterol concentration. Conduct a three-way factorial ANOVA, complete with hypotheses (main effects and interactions), source tables, and conclusions. Conduct any and all applicable tests of simple effects with hypothesis and/or post hoc multiple comparison tests. For this assignment, you do not need to include graphs, assumptions or power analyses. Cell means and SSTotal are provided for you