The worksheet data can help a retailer analyze the business and determine the number of salespeople needed for each month for example. The information shown in this worksheet contains sales data for a hypothetical merchandise retail company. We will demonstrate how you can use Excel to make these decisions and many more throughout this text.įigure 1.1 shows a completed Excel worksheet that will be constructed in this chapter. With respect to personal decisions, you can use Excel to determine how much money you can spend on a house, how much you can spend on car lease payments, or how much you need to save to reach your retirement goals. For example, employees can use Excel to determine how much inventory to buy for a clothing retailer, how much medication to administer to a patient, or how much money to spend to stay within a budget. The information produced in Excel can be used to make decisions in both professional and personal contexts. These computations ultimately convert that quantitative data into information. Taking a very simple view, Excel is a tool that allows you to enter quantitative data into an electronic spreadsheet to apply one or many mathematical computations. This chapter provides an overview of the Excel application along with an orientation for accessing the commands and features of an Excel workbook. No matter which career path you choose, you will likely need to use Excel to accomplish your professional objectives, some of which may occur daily.
Microsoft Excel is perhaps the most versatile and widely used of all the Office applications. Microsoft® Office contains a variety of tools that help people accomplish many personal and professional objectives.
Become familiar with the features in the Excel Help window.Become familiar with the Excel workbook.Examine the value of using Excel to make decisions.Includes everything from the other editions. Includes 11 CLSI EP protocols, Bland-Altman, Deming regression, Passing-Bablok regression, ROC curve analysis, Measurement Systems Analysis (MSA) for precision, trueness, linearity, & detection limits, plus everything from the Standard edition. Includes Shewhart control charts, process capability, pareto analysis, plus everything from the Standard edition: multiple regression & model-fitting, ANOVA, ANCOVA, principal component analysis (PCA) & hypothesis testing. Includes multiple regression & model-fitting, ANOVA, ANCOVA, multiple comparisons, principal component analysis (PCA), factor analysis & hypothesis testing and other tools for exploratory data analysis. Meet regulatory compliance demands with analytical and diagnostic method validation and verification.Īll the power of Analyse-it, combining all the features of the other editions. Statistical process control and quality improvement tools to meet customer expectations and keep them satisfied. The powerful statistical modelling & analysis you'd expect from an expensive statistics package.
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