Books > Statistical Modeling with SPSS

**| ©2015 by Dr. John F. Loase, Concordia College, New York | Textbook, 505 pages |**

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**TABLE OF CONTENTS**

**Chapter 1 - Selected Topics from Elementary Statistics**

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Hypothesis testing, confidence intervals, regression and correlation. Using SPSS to analyze large data set.

**Chapter 2- Selected Topics from Calculus-Based Statistics and Probability**

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Random variables, density functions, distribution functions.

**Chapter 3 - Input Probability Distributions**

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Goodness of fit tests, Poisson, normal, uniform density functions. Using SPSS to test data for goodness of fit to key density functions.

**Chapter 4 - Random Number Generators**

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Linear congruential generators, empirical tests.

**Chapter 5 - Generating Random Variables**

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Inverse transform, uniform, exponential densities. Statistical modeling examples with SPSS.

**Chapter 6 - Application from Linear Algebra**

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A current applied problem in modeling.

**Chapter 7 - Two Modeling Exercises**

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Two detailed problems which are practical applications of mathematical modeling.

**Chapter 8 - Two Exemplary Student Solutions from the International Contest in Mathematical Modeling**

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Two solutions are reprinted with permission granted by COMAP.

**Appendix A- Marketing and Sigfluence Survey**

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**Appendix B - TI-83 Based Primer on Basic Statistics**

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**Appendix C - Future Research Direction - The Triad**

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**Solutions to the Odd Exercises Chapters 1-5**

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