stat 300

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School

University of Florida *

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Course

300

Subject

Statistics

Date

Apr 3, 2024

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docx

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Uploaded by jenhuth

**Statistics 300: Advanced Statistical Analysis** **Assignment Title:** Exploring Advanced Statistical Techniques in Real-world Applications **Objective:** To apply advanced statistical methods to analyze real-world data sets and draw meaningful conclusions. **Instructions:** 1. **Data Analysis Report (70%):** Select a real-world data set of your choice from a reputable source (e.g., Kaggle, government databases, academic repositories). Perform the following tasks: - Preprocess the data, including data cleaning, transformation, and handling missing values. - Conduct exploratory data analysis (EDA) to gain insights into the characteristics and distributions of variables. - Apply advanced statistical techniques, such as multivariate regression analysis, ANOVA, or cluster analysis, to explore relationships and patterns in the data. - Interpret the results of your analysis and draw meaningful conclusions supported by statistical evidence. - Present your findings in a clear and concise report format, including visualizations, tables, and statistical summaries. 2. **Hypothesis Testing (20%):** Formulate a research question based on your chosen data set and perform hypothesis testing to investigate the question. Clearly state the null and alternative hypotheses, select an appropriate test statistic, and conduct the hypothesis test. Interpret the results and discuss their implications for the research question. 3. **Discussion Forum Participation (10%):** Engage in a virtual discussion forum with your classmates to share insights, ask questions, and provide feedback on each other's analyses. Respond to at least two peers' posts with constructive comments or suggestions. Participation will be assessed based on the quality and depth of engagement in the discussion. **Formatting Guidelines:** - Use a professional report format with clear headings and subheadings. - Include a title page with your name, student ID, course code, and date. - Number all pages consecutively and include a word count at the end of your report. - Use appropriate tables, charts, and visualizations to enhance the presentation of your analysis. **Submission Details:** - Submit your completed assignment via the online learning platform by [due date]. - Late submissions will incur a penalty of 10% per day. **Evaluation Criteria:**

- Depth and accuracy of data analysis techniques applied. - Clarity and coherence of the data analysis report. - Appropriateness of statistical methods used for hypothesis testing. - Critical thinking and interpretation of statistical results. - Active participation and contribution to the discussion forum. **Note:** Ensure that all analyses are performed using appropriate statistical software (e.g., R, Python, SPSS) and that all assumptions of the statistical tests are met. Plagiarism will not be tolerated, and all sources must be properly cited and referenced.

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