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Elementary Statistics Using the TI-83/84 Plus Calculator 2nd edition [Multiple-component retail product]

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  • Formatas: Multiple-component retail product, 936 pages, aukštis x plotis x storis: 256x222x35 mm, weight: 1957 g, Contains 1 Paperback / softback and 1 CD-ROM
  • Išleidimo metai: 27-Apr-2007
  • Leidėjas: Pearson
  • ISBN-10: 0321462572
  • ISBN-13: 9780321462572
Kitos knygos pagal šią temą:
Elementary Statistics Using the TI-83/84 Plus Calculator 2nd editionDidesnis paveikslėlis
  • Formatas: Multiple-component retail product, 936 pages, aukštis x plotis x storis: 256x222x35 mm, weight: 1957 g, Contains 1 Paperback / softback and 1 CD-ROM
  • Išleidimo metai: 27-Apr-2007
  • Leidėjas: Pearson
  • ISBN-10: 0321462572
  • ISBN-13: 9780321462572
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9780321462572.html
Raktažodžiai:
Elementary Statistics Using the TI-83/84 Plus Calculator, Second Edition, guides students through the concepts behind the calculations, raising confidence in their ability to do statistics. This text features an engaging writing style, an abundance of relevant exercises with real data, and an emphasis on interpretation of statistical results. In addition, this text provides extensive instruction on using the TI-83 and TI-84 Plus (and Silver Edition) calculators for statistics, with information on calculator functions, images of screen displays, and projects designed exclusively for the calculator.  

Elementary Statistics Using the Graphing Calculator is written for a one-semester introductory statistics course in which the TI-83 or TI-84 Plus graphing calculator is used. It is appropriate for students majoring in any field.  Completion of an elementary algebra course is recommended, but not required, because the use of algebra in the text is minimal.







Datasets and other resources (where applicable) for this book are available here.
Introduction to Statistics
2(44)
Overview
4(1)
Types of Data
5(6)
Critical Thinking
11(10)
Design of Experiments
21(12)
Introduction to the TI-83/84 Plus Calculator
33(13)
Summarizing and Graphing Data
46(36)
Overview
48(1)
Frequency Distributions
48(10)
Histograms
58(5)
Statistical Graphics
63(19)
Statistics for Describing, Exploring, and Comparing Data
82(62)
Overview
84(1)
Measures of Center
84(17)
Measures of Variation
101(18)
Measures of Relative Standing
119(10)
Exploratory Data Analysis (EDA)
129(15)
Probability
144(64)
Overview
146(1)
Fundamentals
146(13)
Addition Rule
159(8)
Multiplication Rule: Basics
167(9)
Multiplication Rule: Complements and Conditional Probability
176(6)
Probabilities Through Simulations
182(5)
Counting
187(12)
Bayes' Theorem (on CD-ROM)
199(9)
Discrete Probability Distributions
208(46)
Overview
210(1)
Random Variables
211(14)
Binomial Probability Distributions
225(10)
Mean, Variance, and Standard Deviation for the Binomial Distribution
235(5)
The Poisson Distribution
240(14)
Normal Probability Distributions
254(74)
Overview
256(1)
The Standard Normal Distribution
257(12)
Applications of Normal Distributions
269(11)
Sampling Distributions and Estimators
280(12)
The Central Limit Theorem
292(10)
Normal as Approximation to Binomial
302(12)
Assessing Normality
314(14)
Estimates and Sample Sizes
328(70)
Overview
330(1)
Estimating a Population Proportion
330(18)
Estimating a Population Mean: σ Known
348(13)
Estimating a Population Mean: σ Not Known
361(14)
Estimating a Population Variance
375(23)
Hypothesis Testing
398(74)
Overview
400(1)
Basics of Hypothesis Testing
401(20)
Testing a Claim About a Proportion
421(12)
Testing a Claim About a Mean: σ Known
433(8)
Testing a Claim About a Mean: σ Not Known
441(11)
Testing a Claim About Variation
452(20)
Inferences from Two Samples
472(62)
Overview
474(1)
Inferences About Two Proportions
474(13)
Inferences About Two Means: Independent Samples
487(16)
Inferences from Matched Pairs
503(11)
Comparing Variation in Two Samples
514(20)
Correlation and Regression
534(74)
Overview
537(1)
Correlation
537(24)
Regression
561(16)
Variation and Prediction Intervals
577(9)
Multiple Regression
586(10)
Modeling
596(12)
Multinomial Experiments and Contingency Tables
608(48)
Overview
610(1)
Multinomial Experiments: Goodness-of-Fit
611(15)
Contingency Tables: Independence and Homogeneity
626(15)
McNemar's Test for Matched Pairs
641(15)
Analysis of Variance
656(36)
Overview
658(1)
One-Way ANNOVA
659(14)
Two-Way ANOVA
673(19)
Nonparametric Statistics
692(58)
Overview
694(2)
Sign Test
696(11)
Wilcoxon Signed-Ranks Test for Matched Pairs
707(6)
Wilcoxon Rank-Sum Test for Two Independent Samples
713(7)
Kruskal-Wallis Test
720(6)
Rank Correlation
726(9)
Runs Test for Randomness
735(15)
Statistical Process Control
750(28)
Overview
752(1)
Control Charts for Variation and Mean
752(14)
Control Charts for Attributes
766(12)
Projects, Procedures, Perspectives
778(9)
Projects
778(5)
Procedures
783(2)
Perspectives
785(2)
Appendices
787(90)
Appendix A: Tables
788(17)
Appendix B: Data Sets
805(23)
Appendix C: Glossary
828(8)
Appendix D: Bibliography
836(1)
Appendix E: Answers to Odd-Numbered Exercises (And All Review Exercises and All Cumulative Review Exercises)
837(40)
Credits 877(2)
Index 879
Mario F. Triola is a Professor Emeritus of Mathematics at Dutchess Community College, where he has taught statistics for over 30 years. Marty is the author of Elementary Statistics, 10th Edition, Elementary Statistics Using Excel, Elementary Statistics Using the TI-83 84 Plus Calculator, and he is a co-author of Biostatistics for the Biological and Health Sciences, Statistical Reasoning for Everyday Life and Business Statistics. He has written several manuals and workbooks for technology supporting statistics education. Outside of the classroom, Marty has been a speaker at many conferences and colleges. His consulting work includes the design of casino slot machines and fishing rods, and he has worked with attorneys in determining probabilities in paternity lawsuits, identifying salary inequities based on gender, analyzing disputed election results, analyzing medical data, and analyzing medical school surveys. Marty has testified as an expert witness in New York State Supreme Court. The Text and Academic Authors Association has awarded Mario F. Triola a Texty for Excellence for his work on Elementary Statistics.