Excel Cookbook: Recipes for Mastering Microsoft Excel
Book information
Description
Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource for intermediate to advanced users of Excel. You'll find complete recipes for more than a dozen topics covering formulas, PivotTables, charts, Power Query, and more. Each recipe poses a particular problem and outlines a solution that you can put to use right away—without having to comb through tutorial pages. Whether you're a data analyst, project manager, or financial analyst, author Dawn Griffiths directs you straight to the answers you need. Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions—fast. This cookbook shows you how to: Get the most out of Excel's features Address complex data problems in the best way possible Collect, manage, and analyze data from a variety of sources Use functions and formulas with ease—including dynamic array and lambda formulas Analyze data with PivotTables, Power Pivot, and more Import and transform data with Power Query Write custom functions and automate Excel with VBA 1. The Analysis ToolPak 9.1 Installing the Analysis ToolPak Problem Solution Discussion 9.2 Generating Descriptive Statistics Problem Solution Discussion 9.3 Generating a Confidence Interval for the Population Mean Problem Solution Discussion 9.4 Generating Ordinal and Percentage Rank Statistics Problem Solution Discussion 9.5 Generating a Frequency Distribution Problem Solution Discussion See also 9.6 Generating Moving Averages Problem Solution Discussion 9.7 Using Exponential Smoothing Problem Solution Discussion 9.8 Generating a Random Sample Problem Solution Discussion 9.9 Generating a Periodic Sample Problem Solution Discussion 9.10 Generating Random Numbers Drawn from a Distribution Problem Solution Discussion 9.11 Generating a Correlation Matrix Problem Solution Discussion See also 9.12 Generating a Covariance Matrix Problem Solution Discussion 9.13 Performing a Linear Regression Analysis Problem Solution Discussion 9.14 Performing a Two-Sample t-Test Problem Solution Discussion See also 9.15 Performing a Two-Sample z-Test Problem Solution Discussion 9.16 Performing a Paired Two-Sample t-Test Problem Solution Discussion 9.17 Performing a Two-Sample F-Test for Variances Problem Solution Discussion 9.18 Performing a One-Way ANOVA Test Problem Solution Discussion 9.19 Performing a Two-Way ANOVA Test Problem Solution Discussion 9.20 Running a Fourier Analysis Problem Solution Discussion About the Author
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