What This Document Is
This is a study guide designed to help students prepare for the second exam in Quantitative Literacy and Reasoning (MATH 105) at James Madison University. It covers material from Chapters 7 through 11 of the course textbook, focusing on descriptive statistics and distributions. The guide summarizes key concepts and provides reminders of the tools available for calculation.
Why This Document Matters
This study guide is intended for students currently enrolled in MATH 105 who are preparing for Exam 2. It serves as a focused review of the topics that will be assessed, helping students identify areas where they need further study. It’s most useful when used *in conjunction with* completed notes, homework, and the textbook itself.
Common Limitations or Challenges
This study guide is a *review* tool, not a replacement for understanding the underlying concepts. It does not provide detailed explanations, worked examples, or practice problems with solutions. Students should not rely on this guide alone to master the material. It also doesn’t cover *how* to apply these concepts to real-world scenarios – that’s addressed in the course materials.
What This Document Provides
This study guide includes:
* A list of key numerical summaries of quantitative data (mean, median, mode, range, variance, standard deviation, IQR).
* Guidance on identifying and handling outliers in datasets.
* Descriptions of different data displays: stemplots, histograms, and box plots, including what each reveals about a dataset.
* Definitions of percentiles and z-scores, and how to interpret them.
* An overview of the Empirical Rule and its application to normal distributions.
* Key terms related to distribution shape (symmetric, unimodal, bimodal, skewed).
This preview *does not* include practice problems, detailed explanations of calculations, or a comprehensive review of all course material. It is a condensed overview to help you assess the scope of the exam and identify areas for further review.
