3. Baseball Players' Salaries. We have access to data regarding the salaries of all professional baseball players in 2019. That is. if we consider all professional baseball players in 2019 our subjects of interest, then we have information on every individual in the population. In this problem. we are going to examine how varying the sample size impacts the sampling distribution of the sample mean. We will be using an applet called StatKey to complete this problem. Before you work on this problem, please watch the Lecture video for MODULE 4, Part 3 to understand how to use the applet. Then. open a web browser on your computer and goingr to the following website: http : //lock55tat . com/statkeyfsampling_1_qua.ut/sampliug_l_qua.ut .html (a) Select the data set Baseball Players (201.9 Salary in Millions). The top graph on the right hand side displays the distribution of the population as well as some numerical summaries describing the population. Use this graph and the numerical summaries to answer the following questions. i. Report the mean [in millions of dollars) for all 877 salaries of 2019 professional baseball players to 2 decimal places. ii. Report the standard deviation (in millions of dollars) for all 877 salaries of 2019 pro- fessional baseball players to 3 decimal places. iii. The values in parts (a)(i) and (a)(ii) above are (Choose all that apply): 0 Parameters o Statistics 0 Estimates 0 Numerical summaries of the sample - Numerical summaries of the population