University:
McMaster University
Course:
DAT 102 | Working with Databases
Academic year:

2024
Views:

204

Pages:

2
Author:

sonalhava9qv

Data Driven Decision Making Template PROMPT B. Describe a real-world business situation that could be addressed by collecting and analyzing a set of data. B1. Summarize one question or decision relevant to the real-world business situation you will answer by collecting and analyzing a set of data. B2. Explain why the situation or question would benefit from a data analysis. RESPONSE In the midst of the COVID-19 outbreak, some countries around the world are testing their citizens more aggressively compared to their peer nations. However, data shows that countries who have the highest health expenditure per person e.g. United States at $8,949 are not testing their citizens as aggressive compared to a country with a lower expenditure and yet mortality rate in the United States is higher than a nation who spends 4 times less, e.g. South Korea. South Korea spends on average $1,908 per citizen, yet with increased testing, mortality rates are lower. Does COVID-19 mortality rates lower when a country conducts COVID-19 tests? If data analysis can show government officials that testing for COVID-19 can decrease deaths, this practice can be shared to other nations who are not yet experiencing a pandemic to better prepare their resources and medical staff. Research shows from the past three weeks that COVID-19 mortality rates decrease with increased testing regardless of health expenditures. B3. Identify data you will need to collect that is relevant to the situation or question. Note: A sample size of 30 or more is suggested to provide a statistically reliable finding. As this is a current world-wide event with global awareness, data can be found from organizations such as World Health Organization (WHO) and Center for Disease Control in the United States. My sample is the top 30 countries with the highest number of deaths. My data will comprise the country’s number of citizens tested, and their respective mortality deaths. My data is from the World Health Organization as of 17 March 2020. However, this data is from each country’s Ministry of Health or equivalent presented to WHO. B4. Describe the data gathering methodology you will use to collect data. This data will be derived from the World Health Organization which is provided frequently by each country’s health minister or equivalent. B5. Identify the appropriate data analysis technique you will use to analyze this data (e.g., linear programming, crossover analysis, t-test, regression). I will use Linear Regression B5a. Explain why the data analysis technique you chose is an appropriate technique to analyze the data collected. Conducting this data analysis can help government officials predict if either testing a larger population or smaller population has a correlation to the number of deaths for the next viral outbreak in their respective country. However, there are multiple variables as each country’s health care system, government policies, and culture differ from one another which may play a role into the number of deaths.

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