R is a free statistical software that is frequently and widely used. Go to R-Project for Statistical Computing (Links to an external site.)Links to an external site. to download the R software to your computer (follow the instructions provided in the attached R Installation Instructions sheet). The R Project website (Links to an external site.)Links to an external site. provides a brief introduction to R that you may also want to review. Like SAS, R is code-driven software that provides computation and graphics easily. This means that you need to write code in order to obtain the results. In this CT assignment, you will write code to find the probabilities. Some R example code to find the probabilities under specific distributions are given in Section 1.11 of zyBooks. For each problem, write an R code to compute each probability.(a) Binomial Distribution: X ~ Bin(10, 0.7) (i) P(X = 2) (ii) P(X < 2) (iii) P(X > 2) (iv) P(1 < X < 7)(b) Normal Distribution: X ~ N(0, 4). Note that variance is 4 and, hence, the standard deviation is 2. (i) P(X < 3) (ii) P(X > 3) (iii) P(1 < X < 3)(c) Choose either (a) or (b) and interpret the results in a real-life scenario. Make sure to define X and interpret each probability. For parts (a) and (b), take screenshots of R codes and the answers. Copy and paste the screenshot(s) into a Word document and submit the Word file in Canvas.

The final project for this course is the creation of a statistical analysis report. Each day, management professionals are faced with multiple decisions affecting various aspects of the operation. The ability to use data to drive decisions is an essential skill that is useful in any facet of an operation. The dynamic environment offers daily challenges that require the talents of the operations manager; working in this field is exciting and rewarding. In Module Seven, you will submit your selection of statistical tools and data analysis, which are critical elements III and IV of your final project. You will submit a 3- to 4-page paper and a spreadsheet that provides justification for the appropriate statistical tools needed to analyze the company’s data. Specifically, the following critical elements must be addressed: Identifystatistical methods to collect data: Identify the appropriate statistical methods that you will use to perform your analysis. What are your statistical assumptions concerning the Justify why you chose these methods to analyze the data. Be sure to include how these methods will help predict the use of the data in driving Data-Driven Decisions to determine the appropriate decision for the identified problem: Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem. Explain how data mining is used to develop a solution to the case. In your response, consider the concepts of metadata. Explain if the problem is a structured or unstructured problem. Assess how the variables have potential for answering the problem. data that led you to selecting the methods? In other words, why did you select this method for statistical analysis? decisions using cited evidence. Guidelines for Submission: Your paper must be submitted as a 3- to 4-page Microsoft Word document and attached spreadsheet with double spacing, 12-point Times New Roman font, one-inch margins, and at least six sources cited in APA format.