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Excel for Scientists and Engineers.

For scientists and engineers tired of trying to learn Excel with examples from accounting, this self-paced tutorial is loaded with informative samples from the world of science and engineering. Techniques covered include creating a multifactorial or polynomial trendline, generating random samples wi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Verschuuren, Dr. Gerard
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chicago : Holy Macro! Books, 2005.
Temas:
Acceso en línea:Texto completo

MARC

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505 0 |a Title Page; Copyright Page; Table of Contents; About the Author; Prologue; Chapter I: General Techniques; Making Copies and Trends; Understanding Relative versus Absolute; Telling Appearance from Reality; Managing Dates; Putting Functions Inside Functions; Chapter II: Statistical Analysis; Understanding Sampling Distributions; Estimating with Confidence; Testing with Significance; Chapter III: Plotting Graphs; Types of Charts; Manipulating Graphs; Adding an extra axis; Line Charts versus XY Charts; Using Error Bars; Using Histograms; Configuring Default Graphs; Putting Inserts in Graphs. 
505 8 |a Adding Special EffectsWorking with Dynamic Ranges; Chapter IV: Regression Analysis; Mono-factorial and Linear; Curve Fitting; Multiple Regression; Chapter V: Complex Functions; Fancy Functions; Array Formulas; Homemade Functions; Solving Equations; Chapter VI: Data Analysis; Validation; Sorting Records; Creating Subtotals; Using Data Filters; Database Functions; Calculated Criteria; Marked Records; Appendix A: Answers to Exercises. 
520 |a For scientists and engineers tired of trying to learn Excel with examples from accounting, this self-paced tutorial is loaded with informative samples from the world of science and engineering. Techniques covered include creating a multifactorial or polynomial trendline, generating random samples with various characteristics, and tips on when to use PEARSON instead of CORREL. Other science- and engineering-related Excel features such as making columns touch each other for a histogram, unlinking a chart from its data, and pivoting tables to create frequency distributions are also covered. 
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