Screen LibraryElementary statistics：a step by step approach
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| Main Authors: | |
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| Published: |
McGraw-Hill,
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| Publisher Address: | Boston |
| Publication Dates: | c2004. |
| Literature type: | Book |
| Language: | English |
| Edition: | 5th ed. |
| Subjects: | |
| Carrier Form: | 810 p.: ill. (chiefly col.) ; 26 cm. +1 CD-ROM (4 3/4 in.) |
| ISBN: | 0072549076 (acid-free paper) |
| Index Number: | O212 |
| CLC: | O212 |
| Call Number: | O212/B658/5th.ed. |
| Contents: |
Includes bibliographic references and (p. 761-762) index. 1. The nature of probability and statistics -- 1.1. Introduction -- 1.2. Descriptive and inferential statistics -- 1.3. Variables and types of data -- 1.4. Data collection and sampling techniques -- 1.5. Observational and experimental studies -- 1.6. Uses and misuses of statistics -- 1.7. Computers and calculators -- 1.8. Summary -- 2. Frequency distributions and graphs -- 2.1. Introduction -- 2.2. Organizing data -- 2.3. Histograms, frequency polygons, and ogives -- 2.4. Other types of graphs -- 2.5 Summary -- 3. Data description -- 3.1. Introduction -- 3.2. Measures of central tendency -- 3.3. Measures of variation -- 3.4. Measures of position -- 3.5. Exploratory data analysis -- 3.6. Summary -- 4. Probability and counting rules -- 4.1. Introduction -- 4.2. Sample spaces and probability -- 4.3. The addition rules of probability -- 4.4. The multiplication rules and conditional probability -- 4.5. Counting rules -- 4.6. Probability and counting rules -- 4.7. Summary -- 5. Discrete probability distributions -- 5.1. Introduction -- 5.2. Probability distributions -- 5.3. Mean, variance, and expectation -- 5.4. The binomial distribution -- 5.5. Other types of distributions (optional) -- 5.6. Summary -- 6. The normal distribution -- 6.1. Introduction -- 6.2. Properties of the normal distribution -- 6.3. The standard normal distribution -- 6.4. Applications of the normal distribution -- 6.5. The central limit theorem -- 6.6. The normal approximation to the binomial distribution -- 6.7. Summary -- 7. Confidence intervals and sample size -- 7.1. Introduction -- 7.2. Confidence intervals for the mean (? known or n > 30) sample size -- 7.3. Confidence intervals for the mean (? unknown and n < 30) -- 7.4. Confidence intervals and sample size fore proportions -- 7.5. Confidence intervals for variances and standard deviations -- 7.6. Summary -- 8. Hypothesis testing -- 8.1. Introduction -- 8.2. Steps in hypothesis testing-- traditional method -- 8.3. z test for a mean -- 8.4. t test for a mean -- 8.5. z test for a proportion -- 8.6 x² text for a variance or standard deviation -- 8.7. Additional topics regarding hypothesis testing -- 8.8. Summary -- 9. Testing the difference between two means, two variances, and two proportions -- 9.1. Introduction -- 9.2. Testing the differences between two means : large samples -- 9.3. Testing the difference between two variances -- 9.4 Testing the difference between two means : small independent samples -- 9.5. Testing the difference between two means : small dependent samples -- 9.6. Testing the difference between two proportions -- 9.7. Summary -- 10. Correlation and regression -- 10.1. Introduction -- 10.2. Scatter plots -- 10.3. Correlation -- 10.4. Regression -- 10.5. Coefficient of determination and standard error of the estimate -- 10.6. Multiple regression (optional) -- 10.7. Summary -- 11. Other chi-square tests -- 11.1. Introduction -- 11.2. Test for goodness of fit -- 11.3. Tests using contingency tables -- 11.4. Summary -- 12. Analysis of variance -- 12.1. Introduction -- 12.2. One-way analysis of variance -- 12.3. The Scheffae test and the Tukey test -- 12.4. Two-way analysis of variance -- 12.5. Summary -- 13. Nonparametric statistics -- 13.1. Introduction -- 13.2. Advantages and disadvantages of nonparametric methods -- 13.3. The Sign test -- 13.4. The Wilcoxon rank sum test -- 13.5. The Wilcoxon signed-rank test -- 13.6. The Kruskal-Wallis test -- 13.7. The Spearman rank correlation coefficient and the runs test -- 13.8. Summary -- 14. Sampling and simulation -- 14.1. Introduction -- 14.2. Common sampling techniques -- 14.3. Surveys and questionnaire design -- 14.4. Simulation techniques -- 14.5. The Monte Carlo method -- 14.6. Summary -- Appendix A. Algebra review -- Appendix B-1. Writing the research report -- Appendix B-2. Bayes' theorem -- Appendix B-3. Alternate method for the standard normal distribution -- Appendix C. Tables -- Appendix D. Data bank -- Appendix E. Glossary. |