1The project consists of three parts. The submission of this project will consist of two attachments:1.A Word document that is prepared according to the APA standards of formatting. In the Word document, explain the experiments and their respective conclusions, and additional information as indicated in each problem2.Either an Excel workbook or an R script file (.R file) that containsall the workand the calculations indicated in parts 1-3 of the project. If using Excel, all work should be completed in the Excel workbook provided. Furthermore, they should be completed in the designated cells as instructed in the workbook. Please save your Excel workbookor R script filein the following form•Problem:Suppose that Boston Red Sox and New York Yankees (two American League baseball teams) are scheduled to play a best of three series. The winner of the series will be the first team that wins two of the three games. The probability that the Red Sox win a game in their home stadium is 0.6 and the probability that Yankees win their home game is 0.57. Next, suppose that you place a bet on each game played where you win $500 if the Red Sox win and you lose $520 if the Red Sox lose the game.•In parts 1-3 below, assume that the outcomes of the games are independent of each other.•Part 1:If the first game is played in Boston, the second game is played in New York, and the third game (if it becomes necessary) is in Boston, then complete parts (i)-(v) below.(i) Calculate the probability that the Red Sox will win the series.(ii) Construct a probability distribution for your net win(X) in the series. Calculate your expected net win (the mean of X) and the standard deviation of X.(iii) Use Excel or R to create 10,000 random values for X. Let these random values be denoted by Y. Use these Y values to estimate your expected net win by using a 95% confidence interval.Does this confidence interval contain E(X)?(iv) Construct a frequency distribution for Y. Next, use the Chi-squared goodness of fit test to verify how closely the distribution of Y has estimatedthe distribution of X.(v) Use your observations of parts (ii) and (iii) above to describe whether your betting strategy is favorable to you.Write a summary of your observations and analyses in the Word document. •Part 2:Repeat part 1 above but assume that the first game is played in New York, the second game is played in Boston, and the third game (if it becomes necessary) is in New York.Part 3:Repeat part 1 above but now assume that the series is a best-of-five series where the first team that wins three games wins the series with games alternating between Boston and New York, with the first game being played in Bosto

The video is 9:44 long.After reviewing the video, please examine the sample white paper linked to in Content for week 4. It is titled, "Cloud Considerations: What You Need to Know Prior to Making the Leap." (In the attached document)Then answer the following questions:1. Of the various types of white papers the Purdue OWL lecture describes, how would you label this type of white paper? Why? Please write a short paragraph in giving your answer.2. Who is the audience for this white paper?3. Comment on the level of formality of the writing in this white paper. Is it written in a formal style? Or an informal style? Or a bit of both? Give 2-3 examples of sentences in the white paper to support your answer.

Hello,Here are the instructions for this assignment:OverviewThe Context Diagram that you created in Module 5 presented the process of how the inventory management system interacts with External Entities. In this assignment, you will utilize data from the same two Casual Format Use Cases that you created in Module 4 to create two detailed Data Flow Diagram (DFD) fragments. After creating the two DFD fragments, you will integrate the two DFD fragments to create a Level 0 Data Flow Diagram (DFD).Your task here is to utilize Microsoft Visio® in a modeling process that transforms the data that was derived in the two Use Cases into the two Data Flow Diagram (DFD) fragments which will then be integrated into the Level 0 DFD. RequirementsCreate the DFD fragments and the Level 0 DFD utilizing Microsoft Visio. Before you begin to work on this activity, review the Microsoft Project and Microsoft Visio page tutorials. These tutorials will help you understand how to create the DFD fragments and the Level 0 DFD. Refer to the DFD fragment and the Level 0 DFD examples in the textbook.To create the DFD fragments and the Level 0 DFD, utilize the Data Flow Model Diagram template located in the Software category in the Visio 2016 application Home page.Be sure to select the DATA FLOW MODEL DIAGRAM template and NOT the Data Flow Diagram template. Your DFDs must address the following requirements:Submit TWO DFD fragments on PAGE ONE in the Microsoft Visio diagram.Submit the Level 0 DFD on PAGE TWO in the Microsoft Visio diagram.Submit the following data in EACH of your two DFD fragments: 1 Process (Processes are verb-related).2 External Entities (External Entities are noun-related).2 input data flows and 3 output data flows per Process (Data Flows are noun-related).1 Data Store per Process (Data Stores are noun-related).1 input data flow and 1 output data flow per Data Store. Submit the following data in your Level 0 Data Flow Diagram (DFD): 2 Processes.4 External Entities.4 input data flows and 3 output data flows per Process.1 Data Store per Process (Data Stores are noun-related).1 input data flow and 1 output data flow per Data Store. Utilize Gane and Sarson symbols.Submit your DFDs in VSDX file format.Here is the grading rubic: MGMT 321 6.2 Practical Exercise Rubric MGMT 321 6.2 Practical Exercise Rubric Criteria Ratings Pts This criterion is linked to a Learning Outcome Deliverable Requirements The percentage of the deliverable(s) that meet the assignment's requirements. 50.0 pts Excellent The deliverable(s) met ALL of the assignment's requirements. 45.0 pts Very Good The deliverable(s) met MOST of the assignment's requirements. 40.0 pts Satisfactory The deliverable(s) met MANY of the assignment's requirements. 35.0 pts Near Failing The deliverable(s) met SOME of the assignment's requirements. 0.0 pts Failing The deliverable(s) did NOT meet ANY of the assignment's requirements. 50.0 pts This criterion is linked to a Learning Outcome Quality of Deliverable(s) The overall quality of the deliverable(s) with regard to the composition and detail. 25.0 pts Excellent The composition and detail of the deliverable(s) was at a VERY HIGH level. 21.0 pts Very Good The composition and detail of the deliverable(s) was at a HIGH level. 17.0 pts Satisfactory The composition and detail of the deliverable(s) was at a MODERATE level. 13.0 pts Near Failing The composition and detail of the deliverable(s) was at a LOW level. 0.0 pts Failing The composition and detail of the deliverable(s) was at an UNSATISFACTORY level. 25.0 pts This criterion is linked to a Learning Outcome Accuracy of the Deliverable(s) The accuracy of the values presented in the deliverable(s). 25.0 pts Excellent ALL of the data in the deliverable(s) was accurate. 21.0 pts Very Good MOST of the data in the deliverable(s) was accurate. 17.0 pts Satisfactory MUCH of the data in the deliverable(s) was accurate. 13.0 pts Near Failing SOME of the data in the deliverable(s) was accurate. 0.0 pts Failing NONE of the data in the deliverable(s) was accurate. 25.0 pts Total Points: 100.0