Elementary Statistics Using Excel / Edition 6 available in Hardcover
|Edition description:||New Edition|
|Product dimensions:||8.60(w) x 10.90(h) x 1.30(d)|
About the Author
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 Essentials of Statistics, Elementary Statistics Using Excel, Elementary Statistics Using the Graphing 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.
Table of Contents1. Introduction to Statistics.
The Nature of Data.
Uses and Abuses of Statistics.
Design of Experiments.
Introduction to Excel.
2. Describing, Exploring, and Comparing Data.
Summarizing Data with Frequency Tables.
Pictures of Data.
Measures of Center.
Measures of Variation.
Measures of Position.
Exploratory Data Analysis.
Multiplication Rule: Basics.
Multiplication Rule: Complements and Conditional Probability.
Probabilities Through Simulations.
4. Probability Distributions.
Binomial Probability Distributions.
Mean, Variance, and Standard Deviation for the Binomial Distribution.
The Poisson Distribution.
5. Normal Probability Distributions.
The Standard Normal Distribution.
Nonstandard Normal Distributions: Finding Probabilities.
Nonstandard Normal Distributions: Finding Values.
The Central Limit Theorem.
Normal Distribution as Approximation to Binomial Distribution.
6. Estimates and Sample Sizes.
Estimating a Population Mean: Large Samples.
Estimating a Population Mean: Small Samples.
Determining Sample Size.
Estimating a Population Proportion.
Estimating a Population Variance.
7. Hypothesis Testing.
Fundamentals of Hypothesis Testing.
Testing a Claim about a Mean: Large Samples.
Testing a Claim about a Mean: Small Samples.
Testing a Claim about a Proportion.
Testing a Claim about a Standard Deviation or Variance.
8. Inferences from TwoSamples.
Inferences about Two Means: Independent and Large Samples.
Inferences about Two Means: Matched Pairs.
Inferences about Two Proportions.
Comparing Variation in Two Samples.
Inferences about Two Means: Independent and Small Samples.
9. Correlation and Regression.
Variation and Prediction Intervals.
10. Multinomial Experiments and Contingency Tables.
Multinomial Experiments: Goodness-of-Fit.
Contingency Tables: Independence and Homogeneity.
11. Analysis of Variance.
12. Statistical Process Control.
Control Charts for Variation and Mean.
Control Charts for Attributes.
13. Nonparametric Statistics.
Wilcoxon Signed-Ranks Test for Matched Pairs.
Wilcoxon Rank-Sum Test for Two Independent Samples.
Runs Test for Randomness.
14. Projects, Procedures, Perspectives.
A Statistics Group Project.
Which Procedure Applies?
B: Data Sets.
C: Excel References.
F: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises).