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  1. The exam usually includes questions that require calculating the test statistic based on given computer outputs. Here is a computer output highlighting the slope (b) and the standard error (s_b) required for the test statistic. Calculate and interpret the p-value for one-sided and two-sided t-tests for slope, and interpret.

  2. The AP Statistics scoring guidelines give exam readers clear direction about how to classify a student’s response on the 0 to 4 scale. Holistic scoring has found its way into numerous secondary and higher education statistics classrooms as a direct result of its use on the AP Statistics exam.

  3. The AP Statistics Exam has consistent question types, weighting, and scoring guidelines every year, so you and your students know what to expect on exam day. Section I: Multiple Choice. 40 Questions | 1 Hour 30 Minutes | 50% of Exam Score. Individual questions or sets of questions based on a shared prompt.

  4. The AP Statistics Exam is a comprehensive assessment that evaluates students' understanding of statistical concepts and their ability to apply statistical methods to analyze data. This guide provides detailed information to help students prepare for the exam and maximize their chances of success.

  5. Apr 14, 2024 · In the summer of 2019, the College Board released the new AP Statistics Course and Exam Description (CED). We knew this new framework would likely cause some shifts in what questions would be asked on the AP Exam, and only time would tell.

  6. Apr 3, 2023 · The AP Statistics exam tests your mastery of the four basic themes of statistics—exploratory analysis, planning and conducting a study, probability, and statistical inference. The College Board provides a content breakdown that is helpful when deciding where to focus your energy during test prep. The exam is: 20-30% exploratory analysis.

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  8. Question 1. Intent of Question. The primary goals of this question were to assess a student’s ability to (1) describe features of a distribution of sample data using information provided by a histogram; (2) identify potential outliers; (3) sketch a boxplot; and (4) comment on an advantage of displaying data as a histogram rather than as a boxplot.

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