Elementary Statistics Using Excel – Mario F. Triola – 5th Edition

Description

From SAT scores to job search ; influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps understand the relationship between 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 Contents

Chapter 1 Introduction to Statistics
1.1 Review and Preview
1.2 Statistical Thinking and Critical Thinking
1.3 Types of Data
1.4 Collecting Sample Data
1.5 Introduction to Excel

Chapter 2 Summarizing and Graphing
2.1 Review and Preview
2.2 Frequency Distributions
2.3 Histograms
2.4 Graphs that Enlighten and Graphs that Deceive
Chapter 3 Statistics for Describing, Exploring, and Comparing
3.1 Review and Preview
3.2 Measures of Center
3.3 Measures of Variation
3.4 Measures of Relative Standing & Boxplots

Chapter 4 Probability
4.1 Review and Preview
4.2 Basic Concepts of Probability
4.3 Addition Rule
4.4 Multiplication Rule: Basics
4.5 Multiplication Rule: Complements and Conditional Probability
4.6 Counting
4.7 Probabilities Through Simulations (on CD)
4.8 Bayes’ Theorem (on CD)

Chapter 5 Discrete Probability Distributions
5.1 Review and Preview
5.2 Probability Distributions
5.3 Binomial Probability Distributions
5.4 Parameters for Binomial Distributions
5.5 Poisson Probability Distributions

Chapter 6 Normal Probability Distributions
6.1 Review and Preview
6.2 The Standard Normal Distribution
6.3 Applications of Normal Distributions
6.4 Sampling Distributions and Estimators
6.5 Central Limit Theorem
6.6 Assessing Normality
6.7 Normal as Approximation to Binomial

Chapter 7 Estimates and Sample Sizes
7.1 Review and Preview
7.2 Estimating a Population Proportion
7.3 Estimating Population Mean
7.4 Estimating Population Standard Deviation or Variance

Chapter 8 Hypothesis Testing
8.1 Review and Preview
8.2 Basics of Hypothesis Testing
8.3 Testing a Claim About a Proportion
8.4 Testing a Claim About a Mean
8.5 Testing a Claim About a Standard Deviation or Variance

Chapter 9 Inferences from Two Samples
9.1 Review and Preview
9.2 Two Proportions
9.3 Two Means: Independent Samples
9.4 Two Dependent Samples (Matched Pairs)
9.5 Two Variances or Standard Deviations

Chapter 10 Correlation and Regression
10.1 Review and Preview
10.2 Correlation
10.3 Regression
10.4 Prediction Intervals and Variation
10.5 Multiple Regression
10.6 Nonlinear Regression

Chapter 11 Goodness-of-Fit and Contingency Tables
11.1 Review and Preview
11.2 Goodness-of-Fit
11.3 Contingency Tables

Chapter 12 Analysis of Variance
12.1 Review and Preview
12.2 One-Way ANOVA
12.3 Two-Way ANOVA

Chapter 13 Nonparametric Tests
13.1 Review and Preview
13.2 Sign Test
13.3 Wilcoxon Signed Ranks Test for Matched Pairs
13.4 Wilcoxon Rank-Sum Test for Two Independent Samples
13.5 Kruskal-Wallis Test
13.6 Rank Correlation
13.7 Runs Test for Randomness

Chapter 14 Statistical Process Control
14.1 Review and Preview
14.2 Control Charts for Variation and Mean
14.3 Control Charts for Attributes
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