What This Document Is
This resource is designed to help students prepare for an upcoming exam in Methods in Human Ecology Research (HDFS 2900) at The Ohio State University. It focuses specifically on the core principles of statistical inference, a crucial component of research methodology. This isn’t a comprehensive course textbook, but rather a focused review of key concepts likely to be assessed. It’s structured to help you pinpoint areas for further study and solidify your understanding before the exam.
Why This Document Matters
This preparation material is ideal for students enrolled in HDFS 2900 who are looking for a concentrated review of statistical inference. It’s particularly useful in the days leading up to Exam 3 as a way to test your recall and identify any gaps in your knowledge. Students who benefit most will be those actively seeking to understand *how* to apply statistical concepts to research questions, rather than simply memorizing definitions. Accessing this resource can help you approach the exam with greater confidence.
Topics Covered
* Fundamentals of hypothesis testing
* Null and alternative hypothesis formulation
* Interpretation of p-values and statistical significance
* Decision-making criteria regarding hypothesis rejection
* Appropriate statistical tests for different data types (nominal, interval, ratio)
* Understanding correlation coefficients – strength and direction
* Applications of Chi-Square, Correlation, and T-tests
What This Document Provides
* A clear outline of the concepts emphasized for the exam.
* Key terminology related to statistical inference.
* Guidance on selecting the appropriate statistical test based on variable types.
* Important considerations regarding research methodology and test selection.
* An overview of the exam format, including the types of questions you can expect.