Elementary Statistics Using Excel / Edition 4by Mario F. Triola
From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics Using Excel raises the bar with every edition by/b>/b>… See more details below
From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods. Elementary Statistics Using Excel raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The Fifth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new.
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).
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