Chapter 1: The Nature of Probability and Statistics Section 1: IntroductionSection 2: Descriptive and Inferential Statistics eProfessorSection 3: Variables and Types of Data eProfessorSection 4: Data Collection and Sampling Techniques eProfessorSection 5: Observational and Experimental Studies eProfessorSection 6: Uses and Misuses of Statistics eProfessorSection 7: Computers and Calculators eProfessorSection 8: SummaryChapter 2: Frequency Distributions and Graphs Section 1: IntroductionSection 2: Organizing Data Video LectureseProfessorSection 3: Histograms, Frequency Polygons, and Ogives Video LectureseProfessorSection 4: Other Types of Graphs Video LectureseProfessorSection 5: SummaryChapter 3: Data Description Section 1: IntroductionVideo LecturesSection 2: Measures of Central Tendency Video LectureseProfessorSection 3: Measures of Variation Video LectureseProfessorSection 4: Measures of Position Video LectureseProfessorSection 5: Exploratory Data Analysis Video LectureseProfessorSection 6: SummaryChapter 4: Probability and Counting Rules Section 1: IntroductionSection 2: Sample Spaces and Probability Video LectureseProfessorSection 3: The Addition Rules for Probability Video LectureseProfessorSection 4: The Multiplication Rules and Conditional Probability Video LectureseProfessorSection 5: Counting Rules Video LectureseProfessorSection 6: Probability and Counting Rules Video LectureseProfessorSection 7: SummaryChapter 5: Discrete Probability Distributions Section 1: IntroductionSection 2: Probability Distributions Video LectureseProfessorSection 3: Mean, Variance, Standard Deviation, and Expectation Video LectureseProfessorSection 4: The Binomial Distribution Video LectureseProfessorSection 5: Other Types of Distributions (Optional)Video LectureseProfessorSection 6: SummaryChapter 6: The Normal Distribution Section 1: IntroductionSection 2: Properties of the Normal Distribution eProfessorSection 3: The Standard Normal Distribution Video LectureseProfessorSection 4: Applications of the Normal Distribution Video LectureseProfessorSection 5: The Central Limit Theorem Video LectureseProfessorSection 6: The Normal Approximation to the Binomial Distribution Video LectureseProfessorSection 7: Summary Chapter 7: Confidence Intervals and Sample Size Section 1: Introduction Section 2: Confidence Intervals for the Mean (s Known or n cubed 30)Video LectureseProfessorSection 3: Confidence Intervals for the Mean (s Unknown or n<30) Video LectureseProfessorSection 4: Confidence Intervals and Sample Size for Proportions Video LectureseProfessorSection 5: Confidence Intervals for Variances and Standard Deviations Video LectureseProfessorSection 6: Summary Chapter 8: Hypothesis Testing Section 1: IntroductionSection 2: Steps in Hypothesis Testing - Traditional Method Video LectureseProfessorSection 3: z Test for a Mean Video LectureseProfessorSection 4: t Test for a Mean Video LectureseProfessorSection 5: z Test for a Proportion Video LectureseProfessorSection 6: Chi Square test for a Variance or Standard Deviation Video LectureseProfessorSection 7: Additional Topics Regarding Hypothesis Testing Video LectureseProfessorSection 8: SummaryChapter 9: Testing the Difference Between Two Means, Two Variances, and Two Proportions Section 1: IntroductionSection 2: Testing the Difference Between Two Means: Large Samples Video LectureseProfessorSection 3: Testing the Difference Between Two Variances Video LectureseProfessorSection 4: Testing the Difference Between Two Means: Small Independent Samples Video LectureseProfessorSection 5: Testing the Difference Between Two Means: Small Dependent Samples Video LectureseProfessorSection 6: Testing the Difference Between Proportions Video LectureseProfessorSection 7: Summary Chapter 10: Correlation and Regression Section 1: IntroductionSection 2: Scatter Plots eProfessorSection 3: Correlation Video LectureseProfessorSection 4: RegressionVideo LectureseProfessorSection 5: Coefficient of Determination and Standard Error of the Estimate Video LectureseProfessorSection 6: Multiple Regression (Optional) Video LectureseProfessorSection 7: SummaryChapter 11: Other Chi-Square Tests Section 1: IntroductionSection 2: Test for Goodness of Fit Video LectureseProfessorSection 3: Tests Using Contingency Tables Video LectureseProfessorSection 4: SummaryChapter 12: Analysis of Variance Section 1: IntroductionSection 2: One-Way Analysis of Variance eProfessorSection 3: The Scheffé Test and the Tukey Test Video LectureseProfessorSection 4: Two-Way Analysis of Variance Video LectureseProfessorSection 5: SummaryChapter 13: Nonparametric Statistics Section 1: IntroductionSection 2: Advantages and Disadvantages of Nonparametric Methods Video LectureseProfessorSection 3: The Sign Test Video LectureseProfessorSection 4: The Wilcoxon Rank Sum Test Video LectureseProfessorSection 5: The Wilcoxon Signed-Rank Test Video LectureseProfessorSection 6: The Kruskal-Wallis Test Video LectureseProfessorSection 7: The Spearman Rank Correlation Coefficient and the Runs Test Video LectureseProfessorSection 8: Summary Chapter 14: Sampling and Simulation Section 1: Introduction Section 2: Common Sampling Techniques Video LectureseProfessorSection 3: Surveys and Questionnaire Design Video LectureseProfessorSection 4: Simulation Techniques eProfessorSection 5: The Monte Carlo Method Video LectureseProfessorSection 6: SummaryAppendix A : Algebra ReviewVideo LecturesAppendix B : Writing the Research ReportVideo Lectures
Section 1: IntroductionSection 2: Descriptive and Inferential Statistics eProfessorSection 3: Variables and Types of Data eProfessorSection 4: Data Collection and Sampling Techniques eProfessorSection 5: Observational and Experimental Studies eProfessorSection 6: Uses and Misuses of Statistics eProfessorSection 7: Computers and Calculators eProfessorSection 8: Summary
Section 1: IntroductionSection 2: Organizing Data Video LectureseProfessorSection 3: Histograms, Frequency Polygons, and Ogives Video LectureseProfessorSection 4: Other Types of Graphs Video LectureseProfessorSection 5: Summary
Section 1: IntroductionVideo LecturesSection 2: Measures of Central Tendency Video LectureseProfessorSection 3: Measures of Variation Video LectureseProfessorSection 4: Measures of Position Video LectureseProfessorSection 5: Exploratory Data Analysis Video LectureseProfessorSection 6: Summary
Section 1: IntroductionSection 2: Sample Spaces and Probability Video LectureseProfessorSection 3: The Addition Rules for Probability Video LectureseProfessorSection 4: The Multiplication Rules and Conditional Probability Video LectureseProfessorSection 5: Counting Rules Video LectureseProfessorSection 6: Probability and Counting Rules Video LectureseProfessorSection 7: Summary
Section 1: IntroductionSection 2: Probability Distributions Video LectureseProfessorSection 3: Mean, Variance, Standard Deviation, and Expectation Video LectureseProfessorSection 4: The Binomial Distribution Video LectureseProfessorSection 5: Other Types of Distributions (Optional)Video LectureseProfessorSection 6: Summary
Section 1: IntroductionSection 2: Properties of the Normal Distribution eProfessorSection 3: The Standard Normal Distribution Video LectureseProfessorSection 4: Applications of the Normal Distribution Video LectureseProfessorSection 5: The Central Limit Theorem Video LectureseProfessorSection 6: The Normal Approximation to the Binomial Distribution Video LectureseProfessorSection 7: Summary
Section 1: Introduction Section 2: Confidence Intervals for the Mean (s Known or n cubed 30)Video LectureseProfessorSection 3: Confidence Intervals for the Mean (s Unknown or n<30) Video LectureseProfessorSection 4: Confidence Intervals and Sample Size for Proportions Video LectureseProfessorSection 5: Confidence Intervals for Variances and Standard Deviations Video LectureseProfessorSection 6: Summary
Section 1: IntroductionSection 2: Steps in Hypothesis Testing - Traditional Method Video LectureseProfessorSection 3: z Test for a Mean Video LectureseProfessorSection 4: t Test for a Mean Video LectureseProfessorSection 5: z Test for a Proportion Video LectureseProfessorSection 6: Chi Square test for a Variance or Standard Deviation Video LectureseProfessorSection 7: Additional Topics Regarding Hypothesis Testing Video LectureseProfessorSection 8: Summary
Section 1: IntroductionSection 2: Testing the Difference Between Two Means: Large Samples Video LectureseProfessorSection 3: Testing the Difference Between Two Variances Video LectureseProfessorSection 4: Testing the Difference Between Two Means: Small Independent Samples Video LectureseProfessorSection 5: Testing the Difference Between Two Means: Small Dependent Samples Video LectureseProfessorSection 6: Testing the Difference Between Proportions Video LectureseProfessorSection 7: Summary
Section 1: IntroductionSection 2: Scatter Plots eProfessorSection 3: Correlation Video LectureseProfessorSection 4: RegressionVideo LectureseProfessorSection 5: Coefficient of Determination and Standard Error of the Estimate Video LectureseProfessorSection 6: Multiple Regression (Optional) Video LectureseProfessorSection 7: Summary
Section 1: IntroductionSection 2: Test for Goodness of Fit Video LectureseProfessorSection 3: Tests Using Contingency Tables Video LectureseProfessorSection 4: Summary
Section 1: IntroductionSection 2: One-Way Analysis of Variance eProfessorSection 3: The Scheffé Test and the Tukey Test Video LectureseProfessorSection 4: Two-Way Analysis of Variance Video LectureseProfessorSection 5: Summary
Section 1: IntroductionSection 2: Advantages and Disadvantages of Nonparametric Methods Video LectureseProfessorSection 3: The Sign Test Video LectureseProfessorSection 4: The Wilcoxon Rank Sum Test Video LectureseProfessorSection 5: The Wilcoxon Signed-Rank Test Video LectureseProfessorSection 6: The Kruskal-Wallis Test Video LectureseProfessorSection 7: The Spearman Rank Correlation Coefficient and the Runs Test Video LectureseProfessorSection 8: Summary
Section 1: Introduction Section 2: Common Sampling Techniques Video LectureseProfessorSection 3: Surveys and Questionnaire Design Video LectureseProfessorSection 4: Simulation Techniques eProfessorSection 5: The Monte Carlo Method Video LectureseProfessorSection 6: Summary
Chapter 1: The Nature of Probability and Statistics TeacherPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Descriptive and Inferential Statistics StudenteProfessorSection 3: Variables and Types of Data StudenteProfessorSection 4: Data Collection and Sampling Techniques StudenteProfessorSection 5: Observational and Experimental Studies StudenteProfessorSection 6: Uses and Misuses of Statistics StudenteProfessorSection 7: Computers and Calculators StudenteProfessorSection 8: SummaryChapter 2: Frequency Distributions and Graphs TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Organizing Data StudentVideo LectureseProfessorSection 3: Histograms, Frequency Polygons, and Ogives StudentVideo LectureseProfessorSection 4: Other Types of Graphs StudentVideo LectureseProfessorSection 5: SummaryChapter 3: Data Description TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionStudentVideo LecturesSection 2: Measures of Central Tendency StudentVideo LectureseProfessorSection 3: Measures of Variation StudentVideo LectureseProfessorSection 4: Measures of Position StudentVideo LectureseProfessorSection 5: Exploratory Data Analysis StudentVideo LectureseProfessorSection 6: SummaryChapter 4: Probability and Counting Rules TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Sample Spaces and Probability StudentVideo LectureseProfessorSection 3: The Addition Rules for Probability StudentVideo LectureseProfessorSection 4: The Multiplication Rules and Conditional Probability StudentVideo LectureseProfessorSection 5: Counting Rules StudentVideo LectureseProfessorSection 6: Probability and Counting Rules StudentVideo LectureseProfessorSection 7: SummaryChapter 5: Discrete Probability Distributions TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Probability Distributions StudentVideo LectureseProfessorSection 3: Mean, Variance, Standard Deviation, and Expectation StudentVideo LectureseProfessorSection 4: The Binomial Distribution StudentVideo LectureseProfessorSection 5: Other Types of Distributions (Optional)StudentVideo LectureseProfessorSection 6: SummaryChapter 6: The Normal Distribution TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Properties of the Normal Distribution StudenteProfessorSection 3: The Standard Normal Distribution StudentVideo LectureseProfessorSection 4: Applications of the Normal Distribution StudentVideo LectureseProfessorSection 5: The Central Limit Theorem StudentVideo LectureseProfessorSection 6: The Normal Approximation to the Binomial Distribution StudentVideo LectureseProfessorSection 7: Summary Chapter 7: Confidence Intervals and Sample Size TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: Introduction Section 2: Confidence Intervals for the Mean (s Known or n cubed 30)StudentVideo LectureseProfessorSection 3: Confidence Intervals for the Mean (s Unknown or n<30) StudentVideo LectureseProfessorSection 4: Confidence Intervals and Sample Size for Proportions StudentVideo LectureseProfessorSection 5: Confidence Intervals for Variances and Standard Deviations StudentVideo LectureseProfessorSection 6: Summary Chapter 8: Hypothesis Testing TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Steps in Hypothesis Testing - Traditional Method StudentVideo LectureseProfessorSection 3: z Test for a Mean StudentVideo LectureseProfessorSection 4: t Test for a Mean StudentVideo LectureseProfessorSection 5: z Test for a Proportion StudentVideo LectureseProfessorSection 6: Chi Square test for a Variance or Standard Deviation StudentVideo LectureseProfessorSection 7: Additional Topics Regarding Hypothesis Testing StudentVideo LectureseProfessorSection 8: SummaryChapter 9: Testing the Difference Between Two Means, Two Variances, and Two Proportions TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Testing the Difference Between Two Means: Large Samples StudentVideo LectureseProfessorSection 3: Testing the Difference Between Two Variances StudentVideo LectureseProfessorSection 4: Testing the Difference Between Two Means: Small Independent Samples StudentVideo LectureseProfessorSection 5: Testing the Difference Between Two Means: Small Dependent Samples StudentVideo LectureseProfessorSection 6: Testing the Difference Between Proportions StudentVideo LectureseProfessorSection 7: Summary Chapter 10: Correlation and Regression TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Scatter Plots StudenteProfessorSection 3: Correlation StudentVideo LectureseProfessorSection 4: RegressionStudentVideo LectureseProfessorSection 5: Coefficient of Determination and Standard Error of the Estimate StudentVideo LectureseProfessorSection 6: Multiple Regression (Optional) StudentVideo LectureseProfessorSection 7: SummaryChapter 11: Other Chi-Square Tests TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Test for Goodness of Fit StudentVideo LectureseProfessorSection 3: Tests Using Contingency Tables StudentVideo LectureseProfessorSection 4: SummaryChapter 12: Analysis of Variance TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: One-Way Analysis of Variance StudenteProfessorSection 3: The Scheffé Test and the Tukey Test StudentVideo LectureseProfessorSection 4: Two-Way Analysis of Variance StudentVideo LectureseProfessorSection 5: SummaryChapter 13: Nonparametric Statistics TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: IntroductionSection 2: Advantages and Disadvantages of Nonparametric Methods StudentVideo LectureseProfessorSection 3: The Sign Test StudentVideo LectureseProfessorSection 4: The Wilcoxon Rank Sum Test StudentVideo LectureseProfessorSection 5: The Wilcoxon Signed-Rank Test StudentVideo LectureseProfessorSection 6: The Kruskal-Wallis Test StudentVideo LectureseProfessorSection 7: The Spearman Rank Correlation Coefficient and the Runs Test StudentVideo LectureseProfessorSection 8: Summary Chapter 14: Sampling and Simulation TeacherPremium Content – PowerPoint PresentationsPremium Content – Preformatted TestsPremium Content – Chapter PDFSection 1: Introduction Section 2: Common Sampling Techniques StudentVideo LectureseProfessorSection 3: Surveys and Questionnaire Design StudentVideo LectureseProfessorSection 4: Simulation Techniques StudenteProfessorSection 5: The Monte Carlo Method StudentVideo LectureseProfessorSection 6: SummaryAppendix A : Algebra ReviewTeacherPremium Content – PowerPoint PresentationsStudentVideo LecturesAppendix B : Writing the Research ReportTeacherPremium Content – PowerPoint PresentationsStudentVideo Lectures
Section 1: IntroductionSection 2: Descriptive and Inferential Statistics StudenteProfessorSection 3: Variables and Types of Data StudenteProfessorSection 4: Data Collection and Sampling Techniques StudenteProfessorSection 5: Observational and Experimental Studies StudenteProfessorSection 6: Uses and Misuses of Statistics StudenteProfessorSection 7: Computers and Calculators StudenteProfessorSection 8: Summary
Section 1: IntroductionSection 2: Organizing Data StudentVideo LectureseProfessorSection 3: Histograms, Frequency Polygons, and Ogives StudentVideo LectureseProfessorSection 4: Other Types of Graphs StudentVideo LectureseProfessorSection 5: Summary
Section 1: IntroductionStudentVideo LecturesSection 2: Measures of Central Tendency StudentVideo LectureseProfessorSection 3: Measures of Variation StudentVideo LectureseProfessorSection 4: Measures of Position StudentVideo LectureseProfessorSection 5: Exploratory Data Analysis StudentVideo LectureseProfessorSection 6: Summary
Section 1: IntroductionSection 2: Sample Spaces and Probability StudentVideo LectureseProfessorSection 3: The Addition Rules for Probability StudentVideo LectureseProfessorSection 4: The Multiplication Rules and Conditional Probability StudentVideo LectureseProfessorSection 5: Counting Rules StudentVideo LectureseProfessorSection 6: Probability and Counting Rules StudentVideo LectureseProfessorSection 7: Summary
Section 1: IntroductionSection 2: Probability Distributions StudentVideo LectureseProfessorSection 3: Mean, Variance, Standard Deviation, and Expectation StudentVideo LectureseProfessorSection 4: The Binomial Distribution StudentVideo LectureseProfessorSection 5: Other Types of Distributions (Optional)StudentVideo LectureseProfessorSection 6: Summary
Section 1: IntroductionSection 2: Properties of the Normal Distribution StudenteProfessorSection 3: The Standard Normal Distribution StudentVideo LectureseProfessorSection 4: Applications of the Normal Distribution StudentVideo LectureseProfessorSection 5: The Central Limit Theorem StudentVideo LectureseProfessorSection 6: The Normal Approximation to the Binomial Distribution StudentVideo LectureseProfessorSection 7: Summary
Section 1: Introduction Section 2: Confidence Intervals for the Mean (s Known or n cubed 30)StudentVideo LectureseProfessorSection 3: Confidence Intervals for the Mean (s Unknown or n<30) StudentVideo LectureseProfessorSection 4: Confidence Intervals and Sample Size for Proportions StudentVideo LectureseProfessorSection 5: Confidence Intervals for Variances and Standard Deviations StudentVideo LectureseProfessorSection 6: Summary
Section 1: IntroductionSection 2: Steps in Hypothesis Testing - Traditional Method StudentVideo LectureseProfessorSection 3: z Test for a Mean StudentVideo LectureseProfessorSection 4: t Test for a Mean StudentVideo LectureseProfessorSection 5: z Test for a Proportion StudentVideo LectureseProfessorSection 6: Chi Square test for a Variance or Standard Deviation StudentVideo LectureseProfessorSection 7: Additional Topics Regarding Hypothesis Testing StudentVideo LectureseProfessorSection 8: Summary
Section 1: IntroductionSection 2: Testing the Difference Between Two Means: Large Samples StudentVideo LectureseProfessorSection 3: Testing the Difference Between Two Variances StudentVideo LectureseProfessorSection 4: Testing the Difference Between Two Means: Small Independent Samples StudentVideo LectureseProfessorSection 5: Testing the Difference Between Two Means: Small Dependent Samples StudentVideo LectureseProfessorSection 6: Testing the Difference Between Proportions StudentVideo LectureseProfessorSection 7: Summary
Section 1: IntroductionSection 2: Scatter Plots StudenteProfessorSection 3: Correlation StudentVideo LectureseProfessorSection 4: RegressionStudentVideo LectureseProfessorSection 5: Coefficient of Determination and Standard Error of the Estimate StudentVideo LectureseProfessorSection 6: Multiple Regression (Optional) StudentVideo LectureseProfessorSection 7: Summary
Section 1: IntroductionSection 2: Test for Goodness of Fit StudentVideo LectureseProfessorSection 3: Tests Using Contingency Tables StudentVideo LectureseProfessorSection 4: Summary
Section 1: IntroductionSection 2: One-Way Analysis of Variance StudenteProfessorSection 3: The Scheffé Test and the Tukey Test StudentVideo LectureseProfessorSection 4: Two-Way Analysis of Variance StudentVideo LectureseProfessorSection 5: Summary
Section 1: IntroductionSection 2: Advantages and Disadvantages of Nonparametric Methods StudentVideo LectureseProfessorSection 3: The Sign Test StudentVideo LectureseProfessorSection 4: The Wilcoxon Rank Sum Test StudentVideo LectureseProfessorSection 5: The Wilcoxon Signed-Rank Test StudentVideo LectureseProfessorSection 6: The Kruskal-Wallis Test StudentVideo LectureseProfessorSection 7: The Spearman Rank Correlation Coefficient and the Runs Test StudentVideo LectureseProfessorSection 8: Summary
Section 1: Introduction Section 2: Common Sampling Techniques StudentVideo LectureseProfessorSection 3: Surveys and Questionnaire Design StudentVideo LectureseProfessorSection 4: Simulation Techniques StudenteProfessorSection 5: The Monte Carlo Method StudentVideo LectureseProfessorSection 6: Summary
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