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True Vision

Project for the Statistics and Probability course in the undergraduate program Information Systems (IS) at Center for Informatics (CIn) of Federal University of Pernambuco (UFPE), a course taken by group in 2023.

In this repository, the Python language was used to perform T-student tests, using the SciPy library.

Course Syllabus

Descriptive Statistics; Probability; Inferential Statistics. Events. Random experiments. Sampling theory.

File Organization

  • The file project.py contains the project code.

  • The file TRUE VISION - GROUP 6.pdf contains the slides used in the presentation.

  • The file MEMORY.txt contains the dataset used in the project.

  • The file Report_Project_IF971_2023_1__Group_6_.pdf is the project report.

  • The file Project_Specification_2023.1.pdf contains the information, specifications, and rules for the project.

Project Proposal

The project aimed to evaluate the team in an analysis of the data provided by the professor. The team performed descriptive data analysis and statistical hypotheses. The data context is not real and was invented by the professor and the team.

Tasks included: Completing the project, creating a project report, presenting the project to the class and the professor.

Summary of the report:

This report addresses the growing relevance of augmented reality in the global scenario, focusing on the analysis of VRAM (Video Random Access Memory) usage during image rendering in a tourism project called "True Vision." This project aims to allow users to explore tourist sites virtually in real-time, promoting the culture and history of each location. Thus, the research in this study aims to propose the server memory plan that best serves the company's service provision. The research process was divided into three phases: data collection, data analysis, and hypothesis formulation. Data collection involved continuous monitoring of VRAM usage on a server. Data analysis was conducted manually and with the help of statistical tools. Three hypotheses were formulated, including checking the normality of the data, estimating the mean VRAM usage at 500 MB, and analyzing to ensure that the server operates below the overload zone (80% of the maximum VRAM capacity). Therefore, the study aims to provide fundamental information for the appropriate choice of the server's VRAM plan to ensure better details for the startup's financial plans and the efficient operation of the application.

Links:

Python official website: https://www.python.org

CIn website: https://portal.cin.ufpe.br/

Information Systems (IS) undergraduate program website: https://portal.cin.ufpe.br/graduacao/sistemas-de-informacao/

UFPE website: https://www.ufpe.br/

SciPy library website: https://scipy.org