Introduction

Average values can describe the dataset and they can be used to compare two or more datasets (subsets) between each other or to a theoretical value. However, the use of average values has limitations.

In this assignment you will be asked to analyze mean values for one or more variables

Directions

1. Identify a research question regarding either to one sample t-test or two sample t-test for the dataset selected for your project.
2. Conduct the analysis using appropriate tools.
3. Describe the findings and the confidence in those finding.
4. Discuss potential bias that may lead to the wrong conclusions.

Based on the information below, answer the above question in a systematic manner

Unit 4

Onso-Nyameyeh Samuel Kaku (1701141)

Data Analysis for Business Analytics

Project Proposal

CIS621HOS2P2024

Ansa Naseeb

04/07/2024

TITLE: COVID-19 pandemic with a focus on the Kansas City metropolitan area

(COVID-19 Cases and Deaths in Kansas City by Date)

Introduction: The Kansas City metropolitan area hasbeen greatly affected by the COVID-19 pandemic, as suffers communities across the globe. Keeping the virus from spreading further and reducing its negative effects on the public's health and the local economy have proven to be difficult tasks for Kansas City, one of the major metropolitan areas that spans both Missouri and Kansas. An important way to track the COVID-19 pandemic's evolution and the success of mitigation measures is to keep track of local cases and fatalities over time.

Problem Statement

Regarding the COVID-19 pandemic in the Kansas City metropolitan area, businesses must make important decisionsregarding workforce management and operational planning. Adjustingstaffing levels and operational procedures to COVID-19 case and death fluctuations over time is a critical question. In the retail, hospitality, and healthcare industries, for instance, decision-makers must strike a balance between the necessity of safeguarding business continuity and ensuring the security of employees and customers.

Businesses make use of statistical data analysis to determine and figure out how the date-specific COVID-19 case data influences workforce availability, customer demand, and operational efficiency. Decision-makers cannegotiate the ongoing uncertainty of the pandemic while protecting public health and business viability by applying this analysis to inform decisions about resource allocation, planning, and methods for minimizing risk.

Dataset

The dataset for this project will be obtained from the Department of Health and Senior Services in Missouri (DHSS). At the county level, the DHSS provides thorough and regularly updated data on COVID-19 cases and deaths, which includes information specific to the Kansas City metropolitan area. The dataset contains specific variables such as geographic location (counties within the Kansas City metropolitan area) and demographic data together with continuous variables including daily case counts and mortality rates. The dataset can be accessed for download at the Missouri DHSS COVID-19 Dashboardhttps://health.mo.gov/living/healthcondiseases/communicable/novel-coronavirus/results.php

Conclusion In conclusion, decision-makers in businesses managing the challenges caused by the pandemic can gain useful information by utilizing statistical data analysis on COVID-19 cases and deaths in the Kansas City metropolitan area. Businesses can improve their operational strategies, ensurethe security of their employees and clients, and strengthen their ability to withstand continuous uncertainty by figuring out the dynamics of the virus's spread over time. Businesses will need to make well-informed decisions based on data-driven analysis toadapt and survive in the COVID-19 pandemic's changing environment.

References:

Missouri Department of Health and Senior Services. (n.d.). COVID-19 Dashboard. Retrieved fromhttps://health.mo.gov/living/healthcondiseases/communicable/novel-coronavirus/results.php

Sheppard, E., & McLean, R. (2020). Coronavirus and business: How firms across the Kansas City region are adapting to COVID-19. Kansas City Business Journal. Retrieved fromhttps://www.bizjournals.com/kansascity/news/2020/03/19/how-firms-across-the-kansas-city-region-are.html

Kansas Department of Health and Environment. (n.d.). COVID-19 in Kansas. Retrieved from https://www.coronavirus.kdheks.gov/160/COVID-19-in-Kansas

Chen, M., Zhou, X., & Wu, H. (2020). Big data analytics for combating COVID-19: A comprehensive review. In Proceedings of the IEEE/ACM 2nd International Workshop on Software Engineering for AI in Autonomous Systems (pp. 1-6).