Essential statistics for economics, business and management /
Intended for introductory undergraduate courses and for the statistics component of courses in quantitative methods, this text will help students learn how to start a problem, complete the calculations, and report the results in a way that makes sense to a non-statistician
محفوظ في:
المؤلف الرئيسي: | |
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التنسيق: | كتاب |
منشور في: |
Chichester :
John Wiley & Sons,
c2007.
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الموضوعات: | |
الوصول للمادة أونلاين: | http://www.loc.gov/catdir/toc/ecip074/2006036194.html http://www.loc.gov/catdir/enhancements/fy0740/2006036194-d.html |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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جدول المحتويات:
- Data collection and its graphical presentation
- Descriptive statistics Regression and correlation: introduction
- Probability
- Introduction to probability distributions
- Sampling distributions for means and proportions
- Confidence intervals for means and proportions
- Tests of hypothesis for means and proportions
- Inference from small samples. Confidence intervals and tests of hypothesis
- Analysis of variance
- Chi-squared tests
- Regression analysis
- Appendix A: technicalities and conventions for defining class intervals, mid-interval, widths, limits, boundaries
- Appendix B: formulae for calculating the quartiles for group data
- Appendix C: outline of derivation of formulae (3.2) and (3.3) for the slope and intercept of the least-squares line, Y=a+bX
- Appendix D: brief review of the mathematics for the binomial
- Appendix E: the number e
- Appendix F: calculation of mean and variance of proportions by expected values
- Appendix G: confidence intervals for means and proportions
- Appendix H: degrees of freedom
- Appendix I: notes on summations and double summations
- Appendix J: expressing the estimates of variance as sums of squares divided by degrees of freedom in their simplest form
- Appendix K: sums of squares for the one-way ANOVA
- Appendix L: fitted values and residuals
- Appendix M: sums of squares identity for two-way ANOVA.