Table of Contents: Introduction MULTIPLE-CHOICE QUESTIONS Chapter 1: MC Exploratory Analysis One-Variable Data Analysis Two-Variable Data Analysis Answers to MC Exploratory Analysis Chapter 2: MC Collecting and Producing Data Sampling Strategies Bias in Sampling Experiments and Observational Studies Answers to MC Collecting and Producing Data Chapter 3: MC Probability Basic Probability Rules Binomial and Geometric Probabilities Random Variables Normal Probabilities Sampling Distributions Answers to MC Probability Chapter 4: MC Statistical Inference Confidence Intervals for Proportions…mehr
Table of Contents: Introduction MULTIPLE-CHOICE QUESTIONS Chapter 1: MC Exploratory Analysis One-Variable Data Analysis Two-Variable Data Analysis Answers to MC Exploratory Analysis Chapter 2: MC Collecting and Producing Data Sampling Strategies Bias in Sampling Experiments and Observational Studies Answers to MC Collecting and Producing Data Chapter 3: MC Probability Basic Probability Rules Binomial and Geometric Probabilities Random Variables Normal Probabilities Sampling Distributions Answers to MC Probability Chapter 4: MC Statistical Inference Confidence Intervals for Proportions Confidence Intervals for Means Confidence Intervals for Slopes Determining Sample Sizes Logic of Significance Testing Hypothesis Tests for Proportions Hypothesis Tests for Means Type I and II Errors, Power P-Values from Simulations Chi-Square Tests Hypothesis Tests for Slopes Answers to MC Statistical Inference FREE-RESPONSE QUESTIONS Chapter 5: FR Exploratory Analysis One-Variable Data Analysis Two-Variable Data Analysis Answers to FR Exploratory Analysis Chapter 6: FR Collecting and Producing Data Answers to FR Collecting and Producing Data Chapter 7: FR Probability Answers to FR Probability Chapter 8: FR Statistical Inference Answers to FR Statistical Inference ANSWERS Multiple-Choice MC Exploratory Analysis MC Collecting and Producing Data MC Probability MC Statistical Inference Free-Response FR Exploratory Analysis FR Collecting and Producing Data FR Probability FR Statistical Inference
About the Author Dr. Martin Sternstein, Professor Emeritus at Ithaca College, was honored by Princeton Review as one of the nation’s “300 Best College Professors.” He is a long-time College Board consultant and has been a Reader and Table Leader for the AP Statistics exam for many years. He has strong interests in national educational and social issues concerning equal access to math education for all. For two years, he was a Fulbright Professor in Liberia, West Africa, after which he developed a popular “Math in Africa” course, and he is the only mathematician to have given a presentation at the annual Conference on African Linguistics. He also taught the first U.S. course for college credit in chess theory. About the Publisher Many great things begin with a tiny spark, and for Manuel H. Barron that spark came from a mimeograph machine in the basement of his Brooklyn, NY, bookstore in the late 1930s. People from the community asked Mr. Barron for books to help their children study for the New York State Regents exams. After realizing there wasn't anything available, Mr. Barron created his own study guides. Now, more than 80 years later, Barron’s continues to help millions of learners worldwide prepare for their next steps. With offerings from pre-college prep to world language guides and professional certification exams, Barron’s wants to be part of your success story no matter what learning path you’re on. You can trust Barron’s to provide exceptional products created only by top experts with years of experience in education. From generation to generation, our mission remains the same: Learn, grow, and succeed with Barron’s throughout your life-long learning journey.
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