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Elementary Statistics Using Excel

ISBN: 9780321365132 | 0321365135
Edition: 3rd
Format: Hardcover w/Disk
Publisher: Addison Wesley
Pub. Date: 1/1/2007

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SummaryTable of Contents
Together we can raise confidence to a new level. Triola's Elementary Statistics Using Excel, Third Edition, promotes statistical literacy and critical thinking, using Excel as the key tool. This book guides students through the concepts behind the calculations, raising confidence in their ability to do statistics.Elementary Statistics Using Excel, Third Edition,is a complete introduction to basic statistics, featuring extensive instruction on the use of Excel spreadsheet technology for the analysis of data. Topics are presented with illustrativ... MORE
Introduction to Statistics
2(46)
Overview
4(1)
Types of Data
... MORE(6)
Critical Thinking
11(10)
Design of Experiments
21(12)
Introduction to Excel
33(15)
Summarizing and Graphing Data
48(42)
Overview
50(1)
Frequency Distributions
50(11)
Histograms
61(8)
Statistical Graphics
69(21)
Statistics for Describing, Exploring, and Comparing Data
90(64)
Overview
92(1)
Measures of Center
92(17)
Measures of Variation
109(18)
Measures of Relative Standing
127(10)
Exploratory Data Analysis (EDA)
137(17)
Probability
154(64)
Overview
156(1)
Fundamentals
156(14)
Addition Rule
170(8)
Multiplication Rule: Basics
178(9)
Multiplication Rule: Complements and Conditional Probability
187(6)
Probabilities Through Simulations
193(5)
Counting
198(11)
Bayes' Theorem (on CD-ROM)
209(9)
Discrete Probability Distributions
218(46)
Overview
220(1)
Random Variables
221(13)
Binomial Probability Distributions
234(12)
Mean, Variance, and Standard Deviation for the Binomial Distribution
246(5)
Poisson Probability Distributions
251(13)
Normal Probability Distributions
264(76)
Overview
266(1)
The Standard Normal Distribution
267(13)
Applications of Normal Distributions
280(9)
Sampling Distributions and Estimators
289(12)
The Central Limit Theorem
301(11)
Normal as Approximation to Binomial
312(10)
Assessing Normality
322(18)
Estimates and Sample Sizes
340(68)
Overview
342(1)
Estimating a Population Proportion
342(18)
Estimating a Population Mean: σ Known
360(12)
Estimating a Population Mean: σ Not Known
372(15)
Estimating a Population Variance
387(21)
Hypothesis Testing
408(74)
Overview
410(1)
Basics of Hypothesis Testing
411(20)
Testing a Claim About a Proportion
431(11)
Testing a Claim About a Mean: σ Known
442(9)
Testing a Claim About a Mean: σ Not Known
451(12)
Testing a Claim About a Standard Deviation or Variance
463(19)
Inferences from Two Samples
482(62)
Overview
484(1)
Inferences About Two Proportions
484(13)
Inferences About Two Means: Independent Samples
497(16)
Inferences from Matched Pairs
513(11)
Comparing Variation in Two Samples
524(20)
Correlation and Regression
544(80)
Overview
547(1)
Correlation
547(24)
Regression
571(18)
Variation and Prediction Intervals
589(12)
Multiple Regression
601(10)
Modeling
611(13)
Multinomial Experiments and Contingency Tables
624(48)
Overview
626(1)
Multinomial Experiments: Goodness-of-Fit
627(15)
Contingency Tables: Independence and Homogeneity
642(15)
McNemar's Test for Matched Pairs
657(15)
Analysis of Variance
672(40)
Overview
674(1)
One-Way ANOVA
675(17)
Two-Way ANOVA
692(20)
Nonparametric Statistics
712(60)
Overview
714(2)
Sign Test
716(12)
Wilcoxon Signed-Ranks Test for Matched Pairs
728(6)
Wilcoxon Rank-Sum Test for Two Independent Samples
734(7)
Kruskal-Wallis Test
741(6)
Rank Correlation
747(10)
Runs Test for Randomness
757(15)
Statistical Process Control
772(28)
Overview
774(1)
Control Charts for Variation and Mean
774(14)
Control Charts for Attributes
788(12)
Projects, Procedures, Perspectives
800(9)
Projects
800(5)
Procedures
805(2)
Perspectives
807(2)
Appendices
809(92)
Appendix A: Tables
810(17)
Appendix B: Data Sets
827(24)
Appendix C: Excel References
851(2)
Appendix D: Glossary
853(8)
Appendix E: Bibliography
861(1)
Appendix F: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises)
862(39)
Credits901(2)
Index903

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