(eBook PDF) Statistical Reasoning for Everyday Life 4th Edition by Jeffrey O. Bennett – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 0321817621
- ISBN-13 : 978-0321817624
- Author: Jeffrey O. Bennett (Author), William L. Briggs (Author), Mario F. Triola (Author)
Statistical Reasoning for Everyday Life, Fourth Edition, provides students with a clear understanding of statistical concepts and ideas so they can become better critical thinkers and decision makers, whether they decide to start a business, plan for their financial future, or just watch the news. The authors bring statistics to life by applying statistical concepts to the real world situations, taken from news sources, the internet, and individual experiences.
Table contents:
1. Speaking of Statistics
1.1 What Is/Are Statistics?
1.2 Sampling
1.3 Types of Statistical Studies
1.4 Should You Believe a Statistical Study?
FOCUS ON PSYCHOLOGY: Are You Driving “Drunk” on Your Cell Phone?
FOCUS ON PUBLIC HEALTH: Is Your Lifestyle Healthy?
2. Measurement in Statistics
2.1 Data Types and Levels of Measurement
2.2 Dealing with Errors
2.3 Uses of Percentages in Statistics
2.4 Index Numbers
USING TECHNOLOGY: Inflation Calculator
FOCUS ON POLITICS: Who Benefited Most from Lower Tax Rates?
FOCUS ON ECONOMICS: Can a Redefined CPI Help the National Debt?
3. Visual Displays of Data
3.1 Frequency Tables
USING TECHNOLOGY: Frequency Tables
3.2 Picturing Distributions of Data
USING TECHNOLOGY: Bar Graphs
USING TECHNOLOGY: Pie Charts
USING TECHNOLOGY: Line Charts and Histograms
3.3 Graphics in the Media
USING TECHNOLOGY: Graphs with Multiple Data Sets
3.4 A Few Cautions about Graphics
FOCUS ON HISTORY: Can War Be Described with a Graph?
FOCUS ON THE ENVIRONMENT: Are We Changing Earth’s Atmosphere?
4. Describing Data
4.1 What Is Average?
USING TECHNOLOGY: Mean, Median, and Mode
4.2 Shapes of Distributions
4.3 Measures of Variation
USING TECHNOLOGY: Quartiles
USING TECHNOLOGY: Boxplots
USING TECHNOLOGY: Standard Deviation
4.4 Statistical Paradoxes
FOCUS ON THE STOCK MARKET: What’s Average about the Dow?
FOCUS ON ECONOMICS: Are the Rich Getting Richer?
5. A Normal World
5.1 What Is Normal?
5.2 Properties of the Normal Distribution
USING TECHNOLOGY: Standard Scores and Percentiles
5.3 The Central Limit Theorem
FOCUS ON EDUCATION: What Can We Learn from SAT Trends?
FOCUS ON PSYCHOLOGY: Are We Smarter Than Our Parents?
6. Probability in Statistics
6.1 The Role of Probability in Statistics: Statistical Significance
6.2 Basics of Probability
6.3 The Law of Large Numbers
6.4 Ideas of Risk and Life Expectancy
6.5 Combining Probabilities (Supplementary Section)
FOCUS ON SOCIAL SCIENCE: Do Lotteries Harm the Poor?
FOCUS ON LAW: Is DNA Analysis Reliable?
7. Correlation and Causality
7.1 Seeking Correlation
USING TECHNOLOGY: Scatterplots and Correlation Coefficients
7.2 Interpreting Correlations
7.3 Best-Fit Lines and Prediction
7.4 The Search for Causality
FOCUS ON EDUCATION: What Helps Children Learn to Read?
FOCUS ON THE ENVIRONMENT: What Is Causing Global Warming?
8. Inferences from Samples to Populations
8.1 Sampling Distributions
8.2 Estimating Population Means
USING TECHNOLOGY: Confidence Interval for a Population Mean
8.3 Estimating Population Proportions
USING TECHNOLOGY: Confidence Interval for a Population Proportion
FOCUS ON HISTORY: Where Did Statistics Begin?
FOCUS ON LITERATURE: How Many Words Did Shakespeare Know?
9. Hypothesis Testing
9.1 Fundamentals of Hypothesis Testing
9.2 Hypothesis Tests for Population Means
USING TECHNOLOGY: Hypothesis Test for a Population Mean
9.3 Hypothesis Tests for Population Proportions
USING TECHNOLOGY: Hypothesis Test for a Population Proportion
FOCUS ON HEALTH AND EDUCATION: Will Your Education Help You Live Longer?
FOCUS ON AGRICULTURE: Are Genetically Modified Foods Safe?
10. t Tests, Two-Way Tables, and ANOVA
10.1 t Distribution for Inferences about a Mean
USING TECHNOLOGY: Confidence Intervals Using the t Distribution
USING TECHNOLOGY: Hypothesis Tests with the t Distribution
10.2 Hypothesis Testing with Two-Way Tables
USING TECHNOLOGY: Hypothesis Testing with Two-Way Tables
10.3 Analysis of Variance (One-Way ANOVA)
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