Name: Understanding Basic Statistics
ISBN: 9781305267251

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Understanding Basic Statistics

Help students overcome their apprehension about statistics with Brase and Brase's UNDERSTANDING BASIC STATISTICS. A condensed and more streamlined version of the same authors' bestselling UNDERSTANDABLE STATISTICS, Eleventh Edition, this book offers instructors an effective way to teach the essentials of statistics, including early coverage of regression, within a more limited time frame. Thorough yet abbreviated, the text helps students realize the real-world significance of statistics, and offers an accessible exposition and a complete technology package. The Seventh Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills with critical thinking features and new exercises throughout the text.

K12AE ED UND BASIC STATS

1. GETTING STARTED. 
What Is Statistics? Random Samples. Introduction to Experimental Design.
2. ORGANIZING DATA. 
Frequency Distributions, Histograms, and Related Topics. Bar Graphs, Circle Graphs, and Time-Series Graphs. Stem-and-Leaf Displays.
3. AVERAGES AND VARIATION. 
Measures of Central Tendency: Mode, Median, and Mean. Measures of Variation. Percentiles and Box-and-Whisker Plots.
4. CORRELATION AND REGRESSION. 
Scatter Diagrams and Linear Correlation. Linear Regression and the Coefficient of Determination.
5. ELEMENTARY PROBABILITY THEORY. 
What Is Probability? Some Probability Rules-Compound Events. Trees and Counting Techniques.
6. THE BINOMIAL DISTRIBUTION AND RELATED TOPICS. 
Introduction to Random Variables and Probability Distributions. Binomial Probabilities. Additional Properties of the Binomial Distribution.
7. NORMAL CURVES AND SAMPLING DISTRIBUTIONS. 
Graphs of Normal Probability Distributions. Standard Units and Areas under the Standard Normal Distribution. Areas under Any Normal Curve. Sampling Distributions. The Central Limit Theorem. Normal Approximation to Binomial Distribution and to p ̂ Distribution.
8. ESTIMATION. 
Estimating µ When σ Is Known. Estimating µ When σ Is Unknown. Estimating p in the Binomial Distribution.
9. HYPOTHESIS TESTING. 
Introduction to Statistical Tests. Testing the Mean µ. Testing a Proportion p.
10. INFERENCES ABOUT DIFFERENCES. 
Tests Involving Paired Differences (Dependent Samples). Inferences about the Difference of Two Means µ1 − µ2. Inferences about the Difference of Two Proportions p1 − p2.
11. ADDITIONAL TOPICS USING INFERENCE. 
Part I: Inferences Using the Chi-Square Distribution.
Overview of the Chi-Square Distribution. Chi-Square: Tests of Independence and of Homogeneity. Chi-Square: Goodness of Fit. Testing a Single Variance or Standard Deviation.
Part II: Inferences Relating to Linear Regression.
Inferences for Correlation and Regression.

Understanding Basic Statistics

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