Anaxos Inc. - 5 Steps to a 5: 500 AP Statistics Questions to Know by Test Day

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Congratulations! Youve taken a big step toward AP success by purchasing 5 Steps to a 5: 500 AP Statistics Questions to Know by Test Day. We are here to help you take the next step and score high on your AP Exam so you can earn college credits and get into the college or university of your choice.

This book gives you 500 AP-style questions that cover all the most essential course material. Each question has a detailed answer explanation that can be found at the back of the book. These questions will give you valuable independent practice to supplement your regular textbook and the groundwork you are already doing in your AP classroom. This and the other books in this series were written by expert AP teachers who know your exam inside out and can identify the crucial exam information as well as questions that are most likely to appear on the exam.

You might be the kind of student who takes several AP courses and needs to study extra questions throughout the year. Or you might be the kind of student who puts off preparing until the last weeks before the exam. No matter what your preparation style is, you will surely benefit from reviewing these 500 questions, which closely parallel the content, format, and degree of difficulty of the questions on the actual AP exam. These questions and their answer explanations are the ideal last-minute study tool for those final few weeks before the test.

Remember the old saying, Practice makes perfect. If you practice with all the questions and answers in this book, we are certain you will build the skills and confidence youll need to do well on the exam. Good luck!

Editors of McGraw-Hill Education

. A student is conducting a survey of his classmates. In his questionnaire, he has asked for several factors, including the students race and gender. The student plans to use this data to conduct a regression on the impact of these variables on grades. The teacher has advised him to use a different set of variables. Why is it difficult to make any kind of meaningful calculations based on these two specific variables?

(A) Because both gender and race are examples of quantitative data and such data is not suited for any kind of statistical analysis.

(B) Because gender is an example of categorical data, while race is an example of discrete data, and it is not possible to use them in the same calculation.

(C) Because gender is an example of discrete data, while race is an example of continuous data, and it is not possible to consider them both without including a dummy variable.

(D) Because both gender and race are examples of continuous data and using them for meaningful calculations is not possible without performing some kind of statistical transformation.

(E) Because both gender and race are examples of categorical data, and both of them can only be expressed as dummy variables, which makes them ill-suited for the students project.

. Which of the following is an example of quantitative data?

(A) Radiation levels in millirems of food in Japan

(B) Fashionable colors by season of the year

(C) Gender

(D) High school grade levelfreshman, sophomore, junior, or senior

(E) Favorite sport

. Which of the following is an example of discrete data?

(A) Lifetime (in hours) of 35 fluorescent light bulbs

(B) Weights of dogs (in pounds) at the Seal Beach Animal Care Center