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Statistics with Microsoft Excel

Verfasser/in: Beverly Jean Dretzke
Verlag: Upper Saddle River : Pearson/Prentice Hall, ©2009.
Ausgabe/Format   Buch : Englisch : 4th edAlle Ausgaben und Formate anzeigen
Datenbank:WorldCat
Zusammenfassung:

Statistics with Microsoft Excel, Fourth Edition, shows readers how to use Microsoft Excel(R) to perform statistical analysis. This step-by-step guide has been updated to cover the new features and  Weiterlesen…

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Dokumenttyp: Buch
Alle Autoren: Beverly Jean Dretzke
ISBN: 0136043879 9780136043874
OCLC-Nummer: 190395112
Anmerkungen: Includes index.
Beschreibung: ix, 268 p. : ill. ; 28 cm.
Inhalt: 1. Getting Started 1.1 Introduction and Overview 1.2 What May Be Skipped 1.3 Excel Worksheet Basics 1.4 Dialog Boxes 1.5 Accessing Excel Files on the Web site 1.6 Saving Information 1.7 Printing 1.8 Loading Excel's Analysis ToolPak 2. Entering, Editing, and Recoding Information 2.1 Opening Documents 2.2 Entering Information 2.3 Editing Information 2.4 Formatting Numbers 2.5 Recoding 2.6 Sorting 3. Formulas 3.1 Operators 3.2 Using Formulas in Statistics 4. Frequency Distributions 4.1 Frequency Distributions Using Pivot Table and Pivot Chart 4.2 Frequency Distributions Using Data Analysis Tools 5. Descriptive Statistics 5.1 Data Analysis Tools: Descriptive Statistics 5.2 Functions: Descriptive Statistics 5.3 Pivot Table: Descriptive Statistics 6. Probability Distributions 6.1 Discrete Probability Distributions 6.2 Continuous Probability Distributions 7. Testing Hypotheses About One Sample Means 7.1 One-Sample Z-Test 7.2 One-Sample t-Test 8. Testing Hypotheses About the Difference Between Two Means 8.1 t-Test for Two Independent Samples 8.2 Paired-Samples t-Test 8.3 Z-Test for Two Independent Samples 9. Analysis of Variance 9.1 One-Way Between-Groups ANOVA 9.2 One-Way Repeated Measures ANOVA 9.3 Two-Way Between-Groups ANOVA 9.4 F-Test for Two Sample Variances 10. Correlation 10.1 Pearson Correlation Coefficient 10.2 Spearman Rank Correlation Coefficient 11. Regression 11.1 Two-Variable Regression 11.2 Multiple Regression 11.3 Dummy Coding of Qualitative Variables 11.4 Curvilinear Regression 12. Cross Tabulations 12.1 Cross Tabulations Using the Pivot Table 12.2 Chi-Square Test of Independence 13. Random Samples 13.1 Random Selection Using the Random Number Generation Tool 13.2 Random Selection Using the Sampling Tool 13.3 Random Selection Using the RANDBETWEEN Function
Verfasserangabe: Beverly J. Dretzke.

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