Statistical Analysis of FPS Performance Across 24 Games (STA416 Coursework)

Описание: 📘 STA416 – Descriptive Statistics Project (FPS Dataset Analysis)

This video presents my group’s analysis of a dataset containing the average FPS (frames per second) for 24 different games tested on an RTX 3050 system. The purpose of this project is to apply descriptive statistics to a real-world dataset and interpret the results.

📊 Content Covered in This Video:

Data collection method
-FPS dataset (24 games)
-Bar chart of FPS values
-Histogram with class intervals
-Calculation of mean, median, mode
-Variance and standard deviation
-Coefficient of variation
-Identification of outliers
-Shape of distribution (right-skewed)
-Interpretation of results
-Conclusion based on statistical findings

🎯 Objective of the Project:

To demonstrate understanding of descriptive statistics by applying them to a real dataset and interpreting FPS performance distribution using graphs and numerical summaries.

🖥 System Used for Data Collection:

GPU: RTX 3050
CPU: Intel i5-12400F
RAM: 32GB
1080p Medium Settings (DLSS Off, RT Off)

All FPS values were manually extracted from consistent gameplay recordings.

📚 This video is submitted as part of the STA416 coursework.