Package: Elementary Statistics: A Step by Step Approach with Connect Math Hosted by ALEKS Access Card

<H3>1 The Nature of Probability and Statistics</H3>1.1 Descriptive and Inferential Statistics<BR>1.2 Variables and Types of Data<BR>1.3 Data Collection and Sampling Techniques<BR>1.4 Observational and Experimental Studies<BR>1.5 Uses and Misuses of Statistics<BR>1.6 Computers and Calculators<BR><H3>2 Frequency Distributions and Graphs</H3>2.1 Organizing Data<BR>2.2 Histograms, Frequency Polygons,and Ogives<BR>2.3 Other Types of Graphs<BR><H3>3 Data Description</H3>3.1 Measures of CentralTendency<BR>3.2 Measures of Variation<BR>3.3 Measures of Position<BR>3.4 Exploratory Data Analysis<BR><H3>4 Probability and Counting Rules</H3>4.1 Exploratory Data Analysis<BR>4.2 The Addition Rules for Probability<BR>4.3 The Multiplication Rules and ConditionalProbability<BR>4.4 Counting Rules<BR>4.5 Probability and Counting Rules<BR><H3>5 Discrete Probability Distributions</H3>5.1 Probability Distributions<BR>5.2 Mean, Variance, Standard Deviation,and Expectation<BR>5.3 The Binomial Distribution<BR>5.4 Other Types of Distributions (Optional)<BR><H3>6 The Normal Distribution</H3>6.1 Normal Distributions<BR>6.2 Applications of the NormalDistribution<BR>6.3 The Central Limit Theorem<BR>6.4 The Normal Approximation to the BinomialDistribution<BR><H3>7 Confidence Intervals and Sample Size</H3>7.1 Confidence Intervals for the Mean When σ Is Known<BR>7.2 Confidence Intervals for the Mean When σ Is Unknown<BR>7.3 Confidence Intervals and Sample Size for Proportions<BR>7.4 Confidence Intervals for Variances and Standard Deviations<BR><H3>8 Hypothesis Testing</H3>8.1 Steps in Hypothesis Testing—Traditional Method<BR>8.2 z Test for a Mean<BR>8.3 t Test for a Mean<BR>8.4 z Test for a Proportion<BR>8.5 χ2 Test for a Variance or Standard Deviation<BR>8.6 Additional Topics Regarding Hypothesis Testing<BR><H3>9 Testing the Difference Between Two Means, Two Variances, and Two Proportions</H3>9.1 Testing the Difference Between Two Means: Using the z Test<BR>9.2 Testing the Difference Between Two Means of Independent Samples: Using the t Test<BR>9.3 Testing the Difference Between Two Means: Dependent Samples<BR>9.4 Testing the Difference Between Proportions9.5 Testing the Difference Between Two Variances<BR><H3>10 Correlation and Regression</H3>10.1 Scatter Plots and Correlation<BR>10.2 Regression<BR>10.3 Coefficient of Determination and Standard Error of the Estimate<BR>10.4 Multiple Regression (Optional)<BR><H3>11 Other Chi-Square Tests</H3>11.1 Test for Goodness of Fit<BR>11.2 Tests Using Contingency Tables<BR><H3>12 Analysis of Variance</H3>12.1 One-Way Analysis of Variance<BR>12.2 The Scheffe Test and the Tukey Test<BR>12.3 Two-Way Analysis of Variance<BR><H3>13 Nonparametric Statistics</H3>13.1 Advantages and Disadvantages of Nonparametric Methods<BR>13.2 The Sign Test<BR>13.3 The Wilcoxon Rank Sum Test<BR>13.4 The Wilcoxon Signed-Rank Test<BR>13.5 The Kruskal-Wallis Test<BR>13.6 The Spearman Rank Correlation Coefficient and the Runs Test<BR><H3>14 Sampling and Simulation</H3>14.1 Common Sampling Techniques<BR>14.2 Surveys and Questionnaire Design<BR>14.3 Simulation Techniques and the Monte Carlo Method<BR><BR><H3>Appendices</H3>Appendix A: Tables<BR>Appendix B: Data Bank<BR>Appendix C: Glossary<BR>Appendix D: Photos Credits <BR>Appendix E: Selected Answers<BR><H3>Additional Topics Onlne</H3>Algebra Review<BR>Writing the Research Report<BR>Bayes' Theorem<BR>Alternate Approach to the Standard Normal Distribution<BR>Bibliography<BR>