AP Statistics Crash Course Advanced Placement Crash Course 1st edition by Michael Alessio 0738666300 9780738666303

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ISBN-10 ‏ : ‎  0738666300 

ISBN-13 ‏ : ‎ 9780738666303

Author:  Michael D Alessio

REA’s Crash Course for the AP® Statistics Exam – Gets You a Higher Advanced Placement® Score in Less Time Crash Course is perfect for the time-crunched student, the last-minute studier, or anyone who wants a refresher on the subject. Are you crunched for time? Have you started studying for your Advanced Placement® Statistics exam yet? How will you memorize everything you need to know before the test? Do you wish there was a fast and easy way to study for the exam AND boost your score? If this sounds like you, don’t panic. REA’s Crash Course for AP® Statistics is just what you need. Our Crash Course gives you: Targeted, Focused Review – Study Only What You Need to Know The Crash Course is based on an in-depth analysis of the AP® Statistics course description outline and actual AP® test questions. It covers only the information tested on the exam, so you can make the most of your valuable study time. Written by an experienced AP® Statistics teacher, our easy-to-read format gives you a crash course in exploring data, planning a study, anticipating patterns, and statistical inferences. Expert Test-taking Strategies Our AP® author shares detailed question-level strategies and explains the best way to answer the questions you’ll find on the AP® exam. By following his expert advice, you can boost your overall point score! Take REA’s FREE Practice Exam After studying the material in the Crash Course, go to the online REA Study Center and test what you’ve learned. Our free practice exam features timed testing, detailed explanations of answers, and automatic scoring analysis. The exam is balanced to include every topic and type of question found on the actual AP® exam, so you know you’re studying the smart way. Whether you’re cramming for the test at the last minute, looking for extra review, or want to study on your own in preparation for the exams – this is the study guide every AP® Statistics student must have. When it’s crucial crunch time and your Advanced Placement® exam is just around the corner, you need REA’s Crash Course for AP® Statistics! About the Author Michael D’Alessio earned his B.S. in Biology from Seton Hall University and his M.S. in Biomedical Sciences from the University of Medicine and Dentistry of New Jersey. In 2004, he earned his Executive Masters of Arts in Educational Leadership from Seton Hall University. Mr. D’Alessio has had an extensive career teaching all levels of mathematics and science, including AP® statistics, chemistry, biology, physics, algebra, calculus and geometry. In 2003, Mr. D’Alessio received the Governor’s Teacher of the Year recognition for Watchung Hills Regional High School. In 2004, Mr. D’Alessio received a Certificate of Recognition of Excellence in Science Teaching from Sigma Xi, the Scientific Research Society of Rutgers University and in 2005, he was voted National Honor Society Teacher of the Year by the students of Watchung Hills. Currently, Mr. D’Alessio serves as the Supervisor of the Mathematics and Business Department at Watchung Hills Regional High School in Warren, New Jersey, overseeing 30 teachers.

 

AP Statistics Crash Course Advanced Placement Crash Course 1st Table of contents:

PART I: – INTRODUCTION

Chapter 1 – Keys for Success on the AP Statistics Exam

I. The Content of the Advanced Placement Statistics Examination

II. Format and Content of the Exam

III. Technology/Calculator Usage

IV. Formulas and Tables

V. Scoring the Exam

VI. Using College Board and REA Materials to Supplement Your Crash Course

PART II: – EXPLORING DATA

Chapter 2 – Exploring Data: Constructing and Interpreting Graphical Displays of Data

I. Key Terms

II. Describing Data

III. Categorizing a Distribution

Chapter 3 – Exploring Data: Describing Distributions with Numbers

I. Measure of Center: Mean and Median

II. Measuring Spread: Range, Interquartile Range, Standard Deviation

III. Constructing a Boxplot

IV. Measuring Spread: Standard Deviation

Chapter 4 – Comparing Distributions of Univariate Data (Dotplots, Back-to-Back Stemplots, Parallel Boxplots)

I. The Most Efficient Way to Study Distributions

II. Dotplots

III. Back-to-Back Stem Plot

IV. Boxplots

Chapter 5 – Exploring Bivariate Data (Part 1)

I. Bivariate Data

II. Correlation Coefficient

III. Regression Lines

IV. The Least Squares Regression Line

V. Residual Plots

VI. Coefficient of Determination (r2)

VII. Outliers

Chapter 6 – Exploring Bivariate Data (Part 2—Transformations)

I. How to Transform Data

II. Logarithmic Transformations

III. Common Transformations

IV. Power Transformations—Both the x and y Values Are Transformed According to the Mathematical Statement Below

V. How to Determine the Correct Type of Transformation

Chapter 7 – Exploring Categorical Data

I. Two-Way Tables

II. Simpson’s Paradox

PART III: – SURVEY METHODS

Chapter 8 – Overview of Methods of Data Collection

I. Population

II. Sample

III. Census

IV. Sampling

V. Observational Study

VI. Experiments

VII. Voluntary Response Sampling

VIII. Convenience Sampling

IX. Bias

Chapter 9 – Planning and Conducting Surveys

I. Characteristics of a Well-Designed and Well-Conducted Survey

II. Sampling Methods

Chapter 10 – Planning and Conducting Experiments

I. Characteristics of a Well-Designed and Well-Conducted Experiment

II. Randomized Comparative Design

III. Blocking

IV. Matched Pair Design

V. Double Blind Study

PART IV: – PROBABILITY AND EXPECTED VALUE

Chapter 11 – Probability

I. Interpreting Probability, Including Long-Run Frequency Interpretation

II. Rules of Probability

III. More Complex Probability Rules

IV. Conditional Probability

V. Discrete Random Variable and Their Probability Distributions Including Binomial and Geometric

VI. Binomial Distributions

VII. Geometric Distribution

Chapter 12 – Combining Independent Random Variables

I. The Mean of a Random Variable

II. Variance of a Discrete Random Variable

PART V: – DISTRIBUTIONS OF DATA

Chapter 13 – The Normal Distribution

I. Properties of a Normal Distribution

II. The Standard Normal Distribution

III. The Normal Distribution Calculations

IV. The Normal Distribution as a Model for Measurements

Chapter 14 – Sampling Distributions

I. Sampling Distributions

II. Sampling Distribution of a Sample Proportion

III. Sampling Distribution of a Sample Mean

IV. The Central Limit Theory

V. Sampling Distribution of a Difference Between Two Independent Sample Proportions

VI. Sampling Distribution of a Difference Between Two Independent Sample Means

PART VI: – STATISTICAL INFERENCE

Chapter 15 – Estimation

I. Logic of Confidence Intervals, Meaning of Confidence Levels and Confidence Intervals, and Properties of Confidence Intervals

II. Confidence Interval for a Mean (Unknown), if the Standard Deviation Is Known

III. Confidence Interval for a Mean (Unknown), if the Standard Deviation Is also Unknown

IV. Confidence Interval for a Mean—Small Sample

V. Paired t Procedures

VI. Conditions for Inference when Dealing with a Proportion

VII. Confidence Interval for Difference for Two Population Proportions

VIII. Confidence Interval for Slope of a Least Squares Regression Line

Chapter 16 – Tests of Significance

I. Test of Significance

II. Statistical Tests

III. P-values

IV. Type I Errors

V. Type II Errors

VI. Statistical Significance

VII. Sample Test for a Proportion

VIII. Test for a Difference Between Two Proportions

IX. Hypothesis Test for a Mean (See chapter 15)

X. Hypothesis Test for Difference Between Two Means (See chapter 15)

XI. Hypothesis Testing—Paired Sample Means

XI. Chi-Square

XIII. Chi-Square Two-Way Tables

XIV. Hypothesis Test for Slope of Least Squares Lines

XV. Hypothesis Test—Slope of Least Squares Regression Line

PART VII: – THE EXAM

Chapter 17 – Hints for the Exam

 

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