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If you need assistance using Excel, you can access a tutorial that is appropriate for your exper Access these tutorials at Atomic Learning using your SNHU login at: Mastering Excel 2013 The Data Analysis ToolPak is an add-in program for Microsoft Excel. It must be added in to the If you have "DATA" already on the upper main menu, then simply click on it and you will open Get External Data, Connections, Sort & Filter, Data Tools, Outline, and Analysis. If you do not see "DATA" on the upper main menu, then you must add this program into Excel Click FILE in the upper tool bar, followed by OPTIONS, then select ADD-INS. Next, on the bottom near Manage, select EXCEL ADD-INS and GO. Ensure the ANALYSIS TO This ToolPak will provide additional data analysis tools for statistics. NOTE: If you are unable to load this ToolPak into your version of Excel, you may have to cons The DATA ANALYSIS TOOLPAK provides 18 additional statistical tools in the areas of: Descriptive Statistics; Sampling; Hypothesis Testing; Analysis of Variance; Regression and Co The ToolPak is valuable to business analysts and leaders who desire additional capability from opriate for your experience level and your version of Excel. Mastering Excel 2013 ust be added in to the software before it can be used. it and you will open up a tool bar of assorted new Excel tools, including: s program into Excel by doing the following: re the ANALYSIS TOOLPAK is checkmarked and click OK. ou may have to consult your installation CD and reinstall the Excel set-up the areas of: ; Regression and Correlation; and Time Series Forecasting itional capability from the Excel software. Company North-East-West-South (NEWS) NEWS is struggling in the ultra-competitive high-tech market. They have called upon you and yo to make some key business decisions using the methods and tools recently learned throughou Save this file for each homework assignment as follows: Last Name_First Name_Homework #.xls F 2-1 Excel Homework I: Scatterplots This homework assignment will help you begin to familiarize yourself with the Excel software, creating Create a scatterplot from a given set of data and then create a regression fitted line and determine the Provide a practical interpretation of the results. 3-2 Excel Homework II: Descriptive Statistics This homework assignment will continue to familiarize you with the Excel software, creating graphs, an In this assignment, you will create a histogram plot from a given set of data and then determine the me Provide a practical interpretation of the results. 6-2 Excel Homework III: Amortization Table This homework assignment will continue to familiarize you with the Excel software. In this assignment, you will create an amortization table based on a given principal, interest rate, and p Analyze alternative criteria to determine the optimal conditions. 7-2 Excel Homework IV: Probability This homework assignment will continue to familiarize you with the Excel software. In this assignment, you will analyze a given business problem based on probability. Provide a practical interpretation of the results. NEWS has decided to purchase a new parcel of land in order to expand operations The Amortization Schedule below has been generated for your use in this assignm NOTE: Payment is calculated by using the PMT function in Excel, based on a given Question 1: NEWS would like to compare two different parcels, each of which is tie Parcel GREEN has the following conditions: Cost = $ 10,000,000; Annual Interest R Parcel BLUE has the following conditions: Cost = $ 7,500,000; Annual Interest Rate Provide your recommendation on which option is the best option and why. ANSWER: Question 2: How does your answer change if NEWS is concerned with short-term p How does your answer change if NEWS is concerned with long-term debt, due to a ANSWER: Amount Borrowed (Present Value) Future Value Years $ - Payments per Year Total Periods Annual Interest Rate Compound Rate Payment Amount 12 0 0.00% #VALUE! Payment Number Payment 1 2 3 4 Interest #VALUE! $ #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! #VALUE! 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