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Fundamentals of Statistics and Probability Theory: A Tutorial Approach Vol. 1. Porbability Theory

✍ Scribed by Howard Dachslager


Publisher
CreateSpace
Year
2014
Tongue
English
Leaves
490
Category
Library

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✦ Synopsis


Welcome...Fundamentals of Statistics & Probability Theory, a two volume textbook tutorial created by Howard Dachslager is an ideal tutorial resource for supporting both independent study and classroom textbook requirements. All major areas of elementary probability theory and statistics are covered in this innovative book. Acting as tutor, which utilizes a step-by-step approach, the reader is guided each step along of the way. Examples are presented, explained and solved in detail, providing the student with ample opportunity for reinforcement of the material. The book consists of 46 lessons covering set theory, probability theory, the normal distribution, inference theory and and all important areas of statistics, . Over 1800 examples and problems are provided throughout the book in a clear and concise presentation. The book is printed double-spaced. Students have found it helpful for note taking, and their test scores show that they are indeed learning from this tutorial approach. It is recommended that the student have some knowledge of elementary algebra. STEP - BY - STEP - LEARNINGYes, you can learn probability. Thousands of successful students are living proof of this. How is this possible? We explain statistics and probability theory in an entirely different way. Examples and problems are solved step-by- step. Concepts are clearly explained and straight to the point. Students have expressed with delight how easy it was for them to learn the subject. See for yourself: read the testimonials of several of the many students that have been successful using our book. TESTIMONIALS Readers Respond...I feel that I have been very fortunate to have used Dr. Dachslager's book. I am an RN who had gone back to school to learn how to do research in my field of cardiovascular nursing. During the first semester of my nursing research class, I was at a loss of how to incorporate a statistical model into my research paper. While studying this book, I found a model that was easy for me to understand and thus helped make my paper more clear.I received an "A" on my paper. Need I say more? Thank you, Dr. Dachslager! - Frankie Besch, RN, Indianapolis, Indiana--------------------I have terrible math anxiety, and when I first purchased my copy of the textbook, I was seriously asking myself what I was getting myself into. As the semester started out, I began to realize how easy the text was to read since it followed the lectures virtually word for word. The book's self-teaching format was also easy to follow. No matter how confusing I thought a problem was, I could always figure it out by referring back to the previous section of the chapter to get clarification, and answers to my questions.Using this textbook is like having the instructor sitting next to you the whole time you are working from it. I wish that all math books made math as tangible and doable as this one." - Lauren Mirallegro, Student, Saddleback College-------------------Statistics and Probability theory by Howard Dachslager is indeed the best math book I've ever studied from. When I'm studying from this book, it feels like I've hired a tutor because every problem is shown step-by-step. I just love how the book matches its example problems with practice problems because when I run into practice problems I don't understand, I can always rely on going back to the example problems. With this book in hand, I don't think anyone really needs to go to class to learn statistics because the book is so easy to comprehend and learn from.To be honest, if you own this book, you will definitely find it easy and fun.- Tina Chen, Student Irvine Valley College

✦ Table of Contents


Title Page
Table Of Contents
Descriptive Statistics
Lesson 1 Frequency Distributions
Lesson 2 Averages
Lesson 3 Measuring Variation
Set Theory
Lesson 4 Basic Concepts
Lesson 5 Set Operations
Lesson 6 Venn Diagrams
Lesson 7 Cardinality of a Set
Lesson 8 Sample Spaces & Events
Lesson 9 Boolean Algebra of Sets
Probability Theory
Lesson 10 Probability Sample Space
Lesson 11 Sampling Methods
Lesson 12 Conditional Probability
Lesson 13 Bayes Theorem
Lesson 14 Random Variables
Lesson 15 Expectation of a Random Variable
Lesson 16 Variance of a Random Variable
Lesson 17 Factorials & Counting Samples
Lesson 18 The Binomial Sample Space
Lesson 19 The Binomial Random Variable
Lesson 20 The Binomial Distribution
Lesson 21 The Binomial Distribution Table
Lesson 22 The Poisson Distribution
Lesson 23 The Poisson Distribution Table
Lesson 24 The Poisson Approximation to the Binomial Distribution
Lesson 25 The Normal Distribution
Lesson 26 Applications Using The Normal Distribution
Lesson 27 The Normal Approximation To The Binomial Distribution
Table A The Cumulative Binomial Distribution
Table B The Poisson Distribution
Table C The Standard Normal Distribution


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