Instructions To successfully complete this case study, the following instructions must be adhered to. Only paste tables/figures that contain pertinent information. Report only relevant the data from tables; as well as your response to each question. In the write-up section, all information must be provided in paragraph format. When statistical values are discussed, the numerical value and a reference must be made to the table(s)/figure(s) where the value(s) can be found. Chi-Square A Pearson's chi-square test, known as the chi-square test, is a statistical model used to determine if there is a difference between two or more groups of categorical variables. For example, to see if the distribution of males and females differs between control and treated groups of an experiment requires a Pearson's chi-square test. Two general assumptions must be passed by data before using a Pearson's chi-square test. These assumptions are: The variables of interest should be categorical data (either ordinal or nominal). There should be two or more independent groups. In this study, we explore the difference in male and female athletes and type of injury. We will also determine if more male or female athletes require surgery. Lastly, we will explore whether injury is related to