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Task 1.3.

Students will develop an individual work that conducts a correlation analysis of the data that they will collect in the field of sports. Students are also required to present and interpret the correlation analysis findings. They will also discuss how these findings provide a significant contribution to the study field. The individual project should address at least the following points:

1. Two variables must be chosen.

2. For each variable, students should gather data.

3. Reliability and validity issues should be provided.

4. Descriptive statistics (e.g., mean, median, mode, skewness, kurtosis) should be performed.

5. Which type of correlation analysis is performed? (Pearson, spearman, etc.) why?

6. A correlation matrix should be provided.

7. Correlation results should be interpreted.

8. Discussion is required to justify how these findings provide a significant contribution FORMAT Your submission must meet the following formatting

Requirements:

– Number of files for submission: One – Required file format for main submission: PDF – Additional file format for additional deliverables: Word document

(.docx) – Additional file requirements: ADD ADDITIONAL FILE REQUIREMENTS

(OPTIONAL)

 

 

Other details: – Font: Arial – Font size: 12 – Spacing: Double – Number of words: No more than 500 – All referencing and citations require Harvard referencing style.

 

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

Step 1: Understand the Assignment

You need to conduct a correlation analysis between two sports-related variables, apply statistical methods, and interpret the results in a 500-word report (PDF format, Arial 12, double-spaced, Harvard referencing).

Step 2: Choose Your Variables

• Select two quantitative sports-related variables (e.g., training hours vs. performance, player height vs. jump height).
• Ensure data availability and validity (from sports databases or credible sources).

Step 3: Assess Data Reliability & Validity

• Check if the data comes from reputable sources (e.g., official sports stats, peer-reviewed studies).
• Evaluate for measurement accuracy and bias.

Step 4: Descriptive Statistics

• Calculate & interpret:
  • Mean, Median, Mode – Central tendency.
  • Standard Deviation & Variance – Data spread.
  • Skewness & Kurtosis – Data distribution.

Step 5: Correlation Analysis

• Choose the right method:
  • Pearson correlation (for linear relationships, normally distributed data).
  • Spearman’s rank correlation (for ranked or non-normally distributed data).
• Generate a correlation matrix (Excel, SPSS, or Python).

Step 6: Interpret Results

• Explain correlation strength (strong, weak, or no correlation).
• Discuss statistical significance (p-value).
• Address limitations and external influencing factors.

Step 7: Write Your Report

• Introduction (150 words): Define the research question, variables, and analysis goal.
• Methods (100 words): Data sources, statistical techniques, and correlation choice.
• Results (150 words): Summary of key findings, correlation coefficient, and graph interpretation.
• Discussion & Conclusion (100 words): Impact of findings on sports performance, potential errors, and future research suggestions.

Step 8: Final Checks

✔ Ensure word count does not exceed 500.
✔ Format per Harvard referencing style.
✔ Convert to PDF before submission.

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