A condensed and more streamlined version of the very popular and widely used UNDERSTANDABLE STATISTICS, 9e, International 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. Designed to help students overcome their apprehension about statistics, UNDERSTANDING BASIC STATISTICS, 5e, International Edition is a thorough yet approachable text that provides plenty of guidance and informal advice demonstrating the links between statistics and the world. The strengths of the text include an applied approach that helps students realize the real-world significance of statistics, an accessible exposition, and a new, complete technology package. The Fifth Edition addresses the growing importance of developing students' critical thinking and statistical literacy skills with the introduction of new features and exercises throughout the text. The use of the graphing calculator, Microsoft" Excel", Minitab", and SPSS is covered but not required.

Table of Contents:
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 RulesuCompound Events. Trees and Counting Techniques. 6. THE BINOMIAL PROBABILITY 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 and 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 the Binomial Distribution. 8. ESTIMATION. Estimating A When ? Is Known. Estimating A When ? is Unknown. Estimating p in a Binomial Distribution. 9. HYPOTHESIS TESTING. Introduction to Statistical Tests. Testing the Mean A. Testing a Proportion p. 10. INFERNECES ABOUT DIFFERENCES. Tests Involving Paired Differences (Dependent Samples). Inferences About the Difference of Two Means A1 u A2. Inferences About the Difference of Two Proportions p1 u p2. 11. ADDITIONAL TOPICS USING INFERENCE. Chi-Square: Tests of Independence and of Homogeneity. Chi-Square: Goodness of Fit. Testing and Estimating a Single Variance or Standard Deviation. Inferences for Correlation and Regression.