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Elementary Statistics Mario F. Triola

Elementary Statistics By Mario F. Triola

Elementary Statistics by Mario F. Triola


$38.99
Condition - Well Read
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Summary

This edition of this text includes additional real data sets, contemporary data applications and real-world examples. It incorporates a modern, exploratory analysis without abandoning traditional organization and good solid coverage.

Elementary Statistics Summary

Elementary Statistics by Mario F. Triola

Elementary Statistics is written for students majoring in any field except mathematics. A strong mathematics background is not necessary, but students should have completed a high school or college elementary algebra course. Although underlying theory is included, this book does not stress the mathematical rigor more suitable for mathematics majors. Because the many examples and exercises cover a wide variety of different and interesting statistical applications, Elementary Statistics is appropriate for students pursuing majors in a wide variety of disciplines ranging from the social sciences of psychology and sociology to areas such as education, the allied health fields, business, economics, engineering, the humanities, the physical sciences, journalism, communications, and liberal arts.

Technological advances are reflected in the incorporation of, or reference to, several widely-used technologies. For the first time, references to the TI-83 (R) calculator, developed by Texas Instruments especially for use in statistics and business, have been included. The latest version of MINITAB (R) statistical software continues to be featured in the book's exhibits and exercises. Our free, text-specific software, STATDISK (R), has been completely reprogrammed for use with the new edition. A Web site has been developed to provide additional teaching resources for users of this edition. Advances in teaching are incorporated through such new features as the Cooperative Group Activities, the Decision to Data Exercises, the Cumulative Review Exercises, and a strong emphasis on using real data throughout the text and exercises. An increased emphasis on methods of data analysis is now integrated where appropriate, and an overall focus in examples and exercises on critical thinking and interpretation of results is included.

Table of Contents



1. Introduction To Statistics.

Overview.

The Nature of Data.

Uses and Abuses of Statistics.

Design of Experiments.

Statistics with Calculators and Computers.



2. Describing, Exploring, And Comparing Data.

Overview.

Summarizing Data with Frequency Tables.

Pictures of Data.

Measures of Central Tendency.

Measures of Variation.

Measures of Position.

Exploratory Data Analysis (EDA).



3. Probability.

Overview.

Fundamentals.

Addition Rule.

Multiplication Rule.

Probabilities Through Simulations.

Counting.



4. Probability Distributions.

Overview.

Random Variables.

Binomial Experiments.

Mean, Variance, and Standard Deviation for the Binomial Distribution.



5. Normal Probability Distributions.

Overview.

The Standard Normal Distribution.

Nonstandard Normal Distributions: Finding Probabilities.

Nonstandard Normal Distributions: Finding Scores.

The Central Limit Theorem.

Normal Distribution as Approximation to Binomial Distribution.



6. Estimates And Sample Sizes.

Overview.

Estimating a Population Mean: Large Samples.

Estimating a Population Mean: Small Samples.

Estimating a Population Proportion.

Estimating a Population Variance.



7. Hypothesis Testing.

Overview.

Fundamentals of Hypothesis Testing.

Testing a Claim about a Mean: Large Samples.

Testing a Claim about a Mean: Small Samples.

Testing a Claim about Proportion.

Testing a Claim about a Standard Deviation or Variance.



8. Inferences From Two Samples.

Overview.

Inferences about Two Means: Dependent Samples.

Inferences about Two Means: Independent and Large Samples.

Comparing Two Variances

Inferences about Two Means: Independent and Small Samples.

Inferences about Two Proportions.



9. Correlation And Regression.

Overview.

Correlation.

Regression.

Variation and Prediction Intervals.

Multiple Regression.



10. Multinominal Experiments And Contingency Tables.

Overview.

Multinominal Experiments: Goodness-of-Fit.

Contingency Tables: Independence and Homogeneity.



11. Analysis Of Variance.

Overview.

One-Way ANOVA.

Two-Way ANOVA.



12. Statistical Process Control.

Overview.

Control Charts for Variation and Mean.

Control Charts for Attributes.



13. Nonparametric Statistics.

Overview.

Sign Test.

Wilcoxon Signed-Ranks Test for Two Dependent Samples.

Wilcoxon Rank-Sum Test for Two Independent Samples.

Kruskal-Wallis Test.

Rank Correlation.

Runs Test for Randomness.



14. Project And Epilogue.

A Statistics Group Project.

Which Procedure Applies.

A Perspective.



Appendix A: Tables.


Appendix B: Data Sets.


Appendix C: The Internet.


Appendix D: Glossary.


Appendix E: Bibliography.


Appendix F: Answers to Selected Exercises.


Index.

Additional information

GOR013053258
9780201859201
0201859203
Elementary Statistics by Mario F. Triola
Used - Well Read
Hardback
Pearson Education (US)
19970909
832
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book. We do our best to provide good quality books for you to read, but there is no escaping the fact that it has been owned and read by someone else previously. Therefore it will show signs of wear and may be an ex library book

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