Allan Bluman
Elementary Statistics: A Step By Step Approach
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Elementary Statistics: A Step By Step Approach
10th Edition
By Allan Bluman
ISBN10: 1259755339
ISBN13: 9781259755330
Copyright: 2018
ISBN10: 1259755339
ISBN13: 9781259755330
Copyright: 2018
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ISBN10: 1260041778 | ISBN13: 9781260041774
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ISBN10: 1260152820 | ISBN13: 9781260152821
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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.
Program Details
1 The Nature of Probability and Statistics
1.1 Descriptive and Inferential Statistics1.2 Variables and Types of Data
1.3 Data Collection and Sampling Techniques
1.4 Observational and Experimental Studies
1.5 Uses and Misuses of Statistics
1.6 Computers and Calculators
2 Frequency Distributions and Graphs
2.1 Organizing Data2.2 Histograms, Frequency Polygons,and Ogives
2.3 Other Types of Graphs
3 Data Description
3.1 Measures of CentralTendency3.2 Measures of Variation
3.3 Measures of Position
3.4 Exploratory Data Analysis
4 Probability and Counting Rules
4.1 Exploratory Data Analysis4.2 The Addition Rules for Probability
4.3 The Multiplication Rules and ConditionalProbability
4.4 Counting Rules
4.5 Probability and Counting Rules
5 Discrete Probability Distributions
5.1 Probability Distributions5.2 Mean, Variance, Standard Deviation,and Expectation
5.3 The Binomial Distribution
5.4 Other Types of Distributions (Optional)
6 The Normal Distribution
6.1 Normal Distributions6.2 Applications of the NormalDistribution
6.3 The Central Limit Theorem
6.4 The Normal Approximation to the BinomialDistribution
7 Confidence Intervals and Sample Size
7.1 Confidence Intervals for the Mean When σ Is Known7.2 Confidence Intervals for the Mean When σ Is Unknown
7.3 Confidence Intervals and Sample Size for Proportions
7.4 Confidence Intervals for Variances and Standard Deviations
8 Hypothesis Testing
8.1 Steps in Hypothesis Testing—Traditional Method8.2 z Test for a Mean
8.3 t Test for a Mean
8.4 z Test for a Proportion
8.5 χ2 Test for a Variance or Standard Deviation
8.6 Additional Topics Regarding Hypothesis Testing
9 Testing the Difference Between Two Means, Two Variances, and Two Proportions
9.1 Testing the Difference Between Two Means: Using the z Test9.2 Testing the Difference Between Two Means of Independent Samples: Using the t Test
9.3 Testing the Difference Between Two Means: Dependent Samples
9.4 Testing the Difference Between Proportions9.5 Testing the Difference Between Two Variances
10 Correlation and Regression
10.1 Scatter Plots and Correlation10.2 Regression
10.3 Coefficient of Determination and Standard Error of the Estimate
10.4 Multiple Regression (Optional)
11 Other Chi-Square Tests
11.1 Test for Goodness of Fit11.2 Tests Using Contingency Tables
12 Analysis of Variance
12.1 One-Way Analysis of Variance12.2 The Scheffe Test and the Tukey Test
12.3 Two-Way Analysis of Variance
13 Nonparametric Statistics
13.1 Advantages and Disadvantages of Nonparametric Methods13.2 The Sign Test
13.3 The Wilcoxon Rank Sum Test
13.4 The Wilcoxon Signed-Rank Test
13.5 The Kruskal-Wallis Test
13.6 The Spearman Rank Correlation Coefficient and the Runs Test
14 Sampling and Simulation
14.1 Common Sampling Techniques14.2 Surveys and Questionnaire Design
14.3 Simulation Techniques and the Monte Carlo Method
Appendices
Appendix A: TablesAppendix B: Data Bank
Appendix C: Glossary
Appendix D: Photos Credits
Appendix E: Selected Answers
Additional Topics Onlne
Algebra ReviewWriting the Research Report
Bayes' Theorem
Alternate Approach to the Standard Normal Distribution
Bibliography
1 The Nature of Probability and Statistics
1.1 Descriptive and Inferential Statistics1.2 Variables and Types of Data
1.3 Data Collection and Sampling Techniques
1.4 Observational and Experimental Studies
1.5 Uses and Misuses of Statistics
1.6 Computers and Calculators
2 Frequency Distributions and Graphs
2.1 Organizing Data2.2 Histograms, Frequency Polygons,and Ogives
2.3 Other Types of Graphs
3 Data Description
3.1 Measures of CentralTendency3.2 Measures of Variation
3.3 Measures of Position
3.4 Exploratory Data Analysis
4 Probability and Counting Rules
4.1 Exploratory Data Analysis4.2 The Addition Rules for Probability
4.3 The Multiplication Rules and ConditionalProbability
4.4 Counting Rules
4.5 Probability and Counting Rules
5 Discrete Probability Distributions
5.1 Probability Distributions5.2 Mean, Variance, Standard Deviation,and Expectation
5.3 The Binomial Distribution
5.4 Other Types of Distributions (Optional)
6 The Normal Distribution
6.1 Normal Distributions6.2 Applications of the NormalDistribution
6.3 The Central Limit Theorem
6.4 The Normal Approximation to the BinomialDistribution
7 Confidence Intervals and Sample Size
7.1 Confidence Intervals for the Mean When σ Is Known7.2 Confidence Intervals for the Mean When σ Is Unknown
7.3 Confidence Intervals and Sample Size for Proportions
7.4 Confidence Intervals for Variances and Standard Deviations
8 Hypothesis Testing
8.1 Steps in Hypothesis Testing—Traditional Method8.2 z Test for a Mean
8.3 t Test for a Mean
8.4 z Test for a Proportion
8.5 χ2 Test for a Variance or Standard Deviation
8.6 Additional Topics Regarding Hypothesis Testing
9 Testing the Difference Between Two Means, Two Variances, and Two Proportions
9.1 Testing the Difference Between Two Means: Using the z Test9.2 Testing the Difference Between Two Means of Independent Samples: Using the t Test
9.3 Testing the Difference Between Two Means: Dependent Samples
9.4 Testing the Difference Between Proportions9.5 Testing the Difference Between Two Variances
10 Correlation and Regression
10.1 Scatter Plots and Correlation10.2 Regression
10.3 Coefficient of Determination and Standard Error of the Estimate
10.4 Multiple Regression (Optional)
11 Other Chi-Square Tests
11.1 Test for Goodness of Fit11.2 Tests Using Contingency Tables
12 Analysis of Variance
12.1 One-Way Analysis of Variance12.2 The Scheffe Test and the Tukey Test
12.3 Two-Way Analysis of Variance
13 Nonparametric Statistics
13.1 Advantages and Disadvantages of Nonparametric Methods13.2 The Sign Test
13.3 The Wilcoxon Rank Sum Test
13.4 The Wilcoxon Signed-Rank Test
13.5 The Kruskal-Wallis Test
13.6 The Spearman Rank Correlation Coefficient and the Runs Test
14 Sampling and Simulation
14.1 Common Sampling Techniques14.2 Surveys and Questionnaire Design
14.3 Simulation Techniques and the Monte Carlo Method
Appendices
Appendix A: TablesAppendix B: Data Bank
Appendix C: Glossary
Appendix D: Photos Credits
Appendix E: Selected Answers
Additional Topics Onlne
Algebra ReviewWriting the Research Report
Bayes' Theorem
Alternate Approach to the Standard Normal Distribution
Bibliography
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