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To complete this extra activity, you need to follow these steps:
1. Collect Data: Gather a dataset relevant to the task.
2. Choose Distribution: Decide whether you want to fit a discrete or continuous distribution to your dataset.
3. Data Analysis: Perform analysis on your dataset. Calculate summary statistics, visualize the data, and check for any patterns or trends that may inform your choice of distribution.
4. Modeling: Model your dataset using the chosen distribution.
5. Verification: Verify the model by comparing the fitted distribution to the actual data.
6. Alternative Models: Optionally, explore alternative distributions to see if there is a better fit for your data.
7. Documentation: Document all your steps, calculations, and findings in a Google document.
8. Submission: Create a Google Spreadsheet with your dataset and a Google document with your analysis.
Dataset Preview
Google Docs Preview
Comparison on Calculation
Conclusion on calculation
After analyzing the dataset and fitting a distribution (either discrete or continuous), several key insights have been obtained :
Sum up the main takeaways from the analysis and emphasize the significance of the findings. Provide a concise conclusion that highlights the value of the work done and its implications for the broader context of the research or application domain
Things present in this :
Data and analysis document: The data and analysis document are both present, ensuring that the evaluation process can be effectively carried out. The data is valid as it adheres to the requirements of the analysis, and the analysis document provides clear insights into why the data is suitable for the chosen distribution model.
Validity of data/Goodness of Fit: The data is considered valid due to [mention specific reasons such as consistency with theoretical expectations, lack of outliers, etc.], as outlined in the analysis document. The calculated PDF/PMF aligns well with the observed data, as evidenced by the close similarity between the calculated values and the probabilities obtained from the dataset.
Appropriateness of steps used in calculations: The steps taken in the calculations are appropriate and sufficient for establishing a valid model of the data. The submission demonstrates a thorough understanding of the methodologies used and provides clear explanations for each step, ensuring the accuracy and reliability of the analysis.
Alternative model: At least one alternative model has been suggested, accompanied by detailed calculations. Comparisons between the fit of the alternative model(s) and the initial model have been conducted, providing insights into the relative suitability of each model for representing the dataset.
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