Publications by Martina Vue
Markov chain
Description of the Problem A computer is shared by 2 users who send tasks to a computer remotely and work independently. At any minute, any connected user may disconnect with probability 0.5, and any disconnected user may connect with a new task with probability 0.2. Let X(t) be the number of concurrent users at time t (in minutes). This is a Marko...
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STAT417 Project 1
Description of the Problem Two mechanics are changing oil filters for the arriving customers. The service time has an Exponential distribution with mean 12 minutes for the first mechanic, and mean 3 minutes for the second mechanic. When you arrive to have your oil filter changed, your probability of being served by the faster mechanic is 0.8. Prob...
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Clothing
Clothing The Clothing dataset employed in this analysis is sourced from Kaggle and focuses on clothing-related information. This dataset comprises six variables, with five being categorical and one numerical variable. The categorical variables include details such as brand, category, color, size, and material, while the numerical variable pertains...
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Olympics
Olympics This project presents an examination of Olympic data sourced from Kaggle. The key variables under consideration in this analysis are Sex, Teams, NOC, Year, Sport, and Medal. The focus of this study is directed towards the collective performance of teams rather than individual athletes. The analysis will delve into the relationship between...
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NBA Analysis
Executive Summary In the NBA, players are conventionally classified into five specific positions: Center, Power Forward, Point Guard, Small Forward, and Shooting Guard. This categorization serves as a foundation for conducting analyses involving variables like age and payroll. Our investigation will encompass an examination of player age over a def...
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webpage 1
Create an R Markdown using the following code: SAY Foundation Prof. Li Yaya launched the SAY foundation in 2016. SAY Chinese Click each word to learn via sentences. 我 Pronounciation: Wǒ English: I 你 Pronounciation: Nǐ English: You 他/她 Pronounciation: Tā English: He/She 是 Pronounciation: Shì English: am/are/is 学校 Pro...
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