Essentials Of Statistics 4th Edition Triola Solutions Manual
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Product details:
- ISBN-10 : 0321641493
- ISBN-13 : 978-0321641496
- Author:
95% of Introductory Statistics students will never take another statistics course. What do you want to learn?
Discover the Power of Real Data
Mario Triola remains the market-leading statistics author by engaging readers of each edition with an abundance of real data in the examples, applications, and exercises. Statistics is all around us, and Triola helps readers understand how this course will impact their lives beyond the classroom–as consumers, citizens, and professionals.
Table of contents:
- Statistical Thinking
- Types of Data
- Critical Thinking
- Collecting Sample Data
- Summarizing and Graphing Dat
- Frequency Distributions
- Histograms
- Statistical Graphics
- Critical Thinking: Bad Graphs
- Statistics for Describing, Exploring, and Comparing Data
- Review and Preview
- Measures of Center
- Measures of Variation
- Measures of Relative Standing and Boxplots
- Probability
- Basic Concepts of Probability
- Addition Rule
- Multiplication Rule: Basics
- Multiplication Rule: Complements and Conditional Probability
- Counting
- Bayes’ Theorem (on CD-ROM)
- Discrete Probability Distributions
- Random Variables
- Binomial Probability Distributions
- Mean, Variance, and Standard Deviation for the Binomial Distribution
- Normal Probability Distributions
- The Standard Normal Distribution
- Applications of Normal Distributions
- Sampling Distributions and Estimators
- Normal as Approximation to Binomial
- Assessing Normality
- Estimates and Sample Sizes
- Estimating a Population Proportion
- Estimating a Population Mean: & Known
- Estimating a Population Mean: & Not Known
- Estimating a Population Variance
- Hypothesis Testing
- Basics of Hypothesis Testing
- Testing a Claim About a Proportion
- Testing a Claim About a Mean: & Known
- Testing a Claim About a Mean: & Not Known
- Testing a Claim About Variation
- Inferences from Two Samples
- Inferences About Two Proportions
- Inferences About Two Means: Independent Samples
- Inferences from Dependent Samples
- Correlation and Regression
- Correlation
- Regression
- Variation and Prediction Intervals
- Rank Correlation
- Chi-Square and Analysis of Variance
- Goodness-of-Fit
- Contingency Tables
- Analysis of Variance
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