What This Document Is
This is the sixth assignment for FREC 408: Research Methods I at the University of Delaware. It’s a practical exercise designed to reinforce your understanding of statistical hypothesis testing and data analysis techniques covered in the course. This assignment focuses on applying learned concepts to real-world scenarios using datasets and statistical software. It requires students to demonstrate their ability to formulate hypotheses, select appropriate statistical tests, and interpret results.
Why This Document Matters
This assignment is crucial for students enrolled in Research Methods I who are looking to solidify their skills in applying statistical methods. It’s particularly beneficial when you’re ready to move beyond theoretical understanding and begin practicing data analysis. Successfully completing this assignment will build confidence in your ability to analyze data, draw meaningful conclusions, and communicate research findings – skills essential for further coursework and future research endeavors. It’s best utilized *after* reviewing the relevant chapters and lecture materials on hypothesis testing and t-tests.
Topics Covered
* Hypothesis Testing (one-tailed and two-tailed)
* T-tests (independent samples, pooled variance)
* Statistical Significance & Alpha Levels
* Data Analysis using Spreadsheet Software (Excel)
* Interpreting Statistical Output
* Difference of Means Tests
* Proportion Problems
* Assessing Equality of Variances
What This Document Provides
* Several distinct problem sets requiring application of statistical tests.
* Datasets for analysis, including both pre-formatted data and instructions for data preparation.
* Scenarios based on environmental science and health-related research.
* Opportunities to practice using spreadsheet software for statistical analysis.
* Clear instructions for conducting specific statistical tests within a spreadsheet program.
* A framework for structuring your responses and presenting your statistical findings.
