Statistical Reasoning for Everyday Life Bank Test Questions

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Table of Contents

(Each chapter ends with Focus sections.)

1. Speaking of Statistics.

What Is/Are Statistics?

Sampling.

Types of Statistical Study.

Should You Believe a Statistical Study?

2. Measurement in Statistics.

Data Types and Levels of Measurement.

Dealing with Errors.

Uses and Abuses of Percentages in Statistics.

Index Numbers.

3. Visual Displays of Data.

Frequency Tables.

Picturing Distributions of Data.

Graphics in the Media.

A Few Cautions About Graphics.

4. Describing Data.

What is Average?

Shapes of Distributions.

Measures of Variation.

5. A Normal World.

What is Normal?

Properties of the Normal Distribution.

The Central Limit Theorem.

6. Probability in Statistics.

Statistical Significance.

Basics of Probability.

In the Long Run, What Do You Expect?

Assessing Risk.

Rules for Combining Probabilities.

7. Correlation and Causality.

Seeking Correlation.

Interpreting Correlations.

Best-Fit Lines and Prediction.

The Search for Causality.

8. From Samples to Populations.

Sampling Distributions.

Estimating Population Means.

Estimating Population Proportions.

9. Hypothesis Testing.

Fundamentals of Hypothesis Testing.

Setting Up Hypothesis Tests.

Hypothesis Tests for Population Means.

Hypothesis Testing: Further Consideration.

Hypothesis Testing: Population Proportions.

10. Relationships in Tables.

Understanding Two-Way Tables.

Hypothesis Testing with Two-Way Tables.

Risk, Paradox, and Probability.

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