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| If you need assistance using Excel, you can access a tutorial that is appropriate for your experience level and your version of Excel. | |||||||||
| 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 software before it can be used. | |||||||||
| If you have "DATA" already on the upper main menu, then simply click on it and you will open up a tool bar of assorted new Excel tools, including: | |||||||||
| 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 by doing the following: | |||||||||
| 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 TOOLPAK is checkmarked and click OK. | |||||||||
| 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 consult your installation CD and reinstall the Excel set-up | |||||||||
| The DATA ANALYSIS TOOLPAK provides 18 additional statistical tools in the areas of: | |||||||||
| Descriptive Statistics; Sampling; Hypothesis Testing; Analysis of Variance; Regression and Correlation; and Time Series Forecasting | |||||||||
| The ToolPak is valuable to business analysts and leaders who desire additional capability from the Excel software. |
Introduction
| Company North-East-West-South (NEWS) | |
| NEWS is struggling in the ultra-competitive high-tech market. They have called upon you and your analysis team to help them analyze their data in order | |
| to make some key business decisions using the methods and tools recently learned throughout MBA 501. | |
| Save this file for each homework assignment as follows: Last Name_First Name_Homework #.xls For example, Smith_John_Homework 2_1.xls | |
| 2-1 Excel Homework I: Scatterplots | |
| This homework assignment will help you begin to familiarize yourself with the Excel software, creating graphs, and using the Data Analysis add-in feature. | |
| Create a scatterplot from a given set of data and then create a regression fitted line and determine the correlation coefficient. | |
| 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, and using the Data Analysis add-in feature. | |
| In this assignment, you will create a histogram plot from a given set of data and then determine the mean, median, and standard deviation. | |
| 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 payment longevity. | |
| 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. |
Template - Scatterplots
| NEWS has gathered data over the last 52 weeks. Two of the data items that have been gathered are Profit and the Number of Defective Items. | |||||
| Question 1: Using the data given below, complete Task 1 and provide a very brief, general description of whether or not a relationship exists | |||||
| between Profit and the Number of Defective Items. | |||||
| ANSWER: | |||||
| Question 2: Using the data given below, complete Task 2 and provide a statistical description of whether or not a relationship appears to exist | |||||
| between Profit and the Number of Defective Items. | |||||
| ANSWER: | |||||
| Week | Profit (thousands) | Number of Defective Items | |||
| 1 | $ 35.00 | 974 | |||
| 2 | $ 490.00 | 693 | Task 1: Create a Scatterplot | ||
| 3 | $ 777.00 | 248 | Step 1. Highlight the two columns of data (Profit, Defective Units) | ||
| 4 | $ 922.00 | 277 | Step 2. Click the Quick Analysis icon on the bottom right | ||
| 5 | $ 519.00 | 509 | Step 3. Select Charts and Scatter | ||
| 6 | $ 520.00 | 635 | |||
| 7 | $ 899.00 | 200 | Place the Chart below this row | ||
| 8 | $ 391.00 | 743 | |||
| 9 | $ 577.00 | 563 | |||
| 10 | $ 419.00 | 715 | |||
| 11 | $ 667.00 | 397 | |||
| 12 | $ 399.00 | 720 | |||
| 13 | $ 540.00 | 659 | |||
| 14 | $ 954.00 | 123 | |||
| 15 | $ 1,078.00 | 8 | |||
| 16 | $ 563.00 | 444 | |||
| 17 | $ 619.00 | 464 | |||
| 18 | $ 625.00 | 483 | |||
| 19 | $ 351.00 | 715 | |||
| 20 | $ 674.00 | 444 | |||
| 21 | $ 547.00 | 639 | Task 2: Correlation and Regression Fitted Line | ||
| 22 | $ 578.00 | 503 | Step 1. Place your mouse over any point within your scatterplot above and right click. Then select Add Trendline. | ||
| 23 | $ 609.00 | 565 | Step 2. Select Linear, then scroll down and Display Equation and R squared Value on Chart | ||
| 24 | $ 228.00 | 785 | Step 3. Place the values in a visible area of the chart so that they are legible and not covered by any of the data | ||
| 25 | $ 871.00 | 286 | |||
| 26 | $ 188.00 | 842 | Determine the Correlation Coefficient (R), using the CORREL function and highlighting each column (Profit, Defective). | ||
| 27 | $ 632.00 | 480 | CORRELATION COEFFICIENT = | ||
| 28 | $ 442.00 | 721 | |||
| 29 | $ 442.00 | 571 | Check the Correlation Coefficient (R) by taking the square root (SQRT) of the R squared value in the chart above. | ||
| 30 | $ 1,114.00 | 25 | Determine the sign (+ or -) of R based on the direction of the regression line. | ||
| 31 | $ 864.00 | 272 | |||
| 32 | $ 825.00 | 241 | CORRELATION COEFFICIENT = | ||
| 33 | $ 750.00 | 252 | |||
| 34 | $ 615.00 | 500 | |||
| 35 | $ 445.00 | 674 | |||
| 36 | $ 282.00 | 732 | |||
| 37 | $ 409.00 | 701 | |||
| 38 | $ 637.00 | 401 | |||
| 39 | $ 646.00 | 536 | |||
| 40 | $ 999.00 | 156 | |||
| 41 | $ 232.00 | 824 | |||
| 42 | $ 152.00 | 964 | |||
| 43 | $ 874.00 | 212 | |||
| 44 | $ 981.00 | 218 | |||
| 45 | $ 289.00 | 747 | |||
| 46 | $ 771.00 | 356 | |||
| 47 | $ 806.00 | 303 | |||
| 48 | $ 921.00 | 113 | |||
| 49 | $ 150.00 | 883 | |||
| 50 | $ 113.00 | 910 | |||
| 51 | $ 1,084.00 | 85 | |||
| 52 | $ 350.00 | 745 |