Introduction
Recently, the coronavirus pandemic has become the most significant challenge facing most countries worldwide, including the United States. Despite termed as a health crisis, the coronavirus pandemic is much more than a mere health crisis. The epidemic is an unprecedented economic crisis because it has the potential to develop demoralizing political and economic effects on every country it touches. Due to this pandemic, people are progressively losing jobs and income with no apparent method of knowing when the normality will come back. Therefore, “ Coronavirus in the U.S.: Latest Map and Case Count” article track coronavirus new cases and deaths through descriptive statistics, predicting normalcy return.
Summary
"Coronavirus in the U.S.: Latest Map and Case Count" is an article retrieved from The New York Times focusing on new corona cases infections and registered coronavirus deaths updated September 1. Also, the report emphasizes the new coronavirus cases and deaths from each state in the country. The data used in generating the descriptive statistics were obtained from local health agencies reports from each state to generate descriptive statistics. The "Coronavirus in the U.S.: Latest Map and Case Count ” article make the data public since it helps policymakers and researchers inhibit the pandemic's spread and reduce coronavirus-caused deaths.
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Descriptive Statistics
"Coronavirus in the U.S.: Latest Map and Case Count" article used descriptive statistics to represent the reports' data. The measure of central tendency is one of the outstanding descriptive statistics utilized in the article. The article included central tendency measures since it shared the mean average number of new cases registered in the country to be 42,189. The statistics indicate that the number of new coronavirus cases ranges around the average value in a single day.
The article also utilized measures of central tendency because it shared the mean average number of deaths due to coronavirus. The daily mean average deaths caused by the coronavirus pandemic are 1,000, according to the article. This value indicates that in a day, the number of deaths caused by the virus might be slightly more or less than the daily average value, 1,000.
The article did utilize not only measures of central tendency but also employed measures of frequency. The article indicated that the new coronavirus cases on September 1, 2020, as 43,857. These values portrayed that the article used frequency descriptive statistics measures. Furthermore, by indicating the total number of people infected by the virus and the number of deaths caused by the virus in the United States since March, it portrays that the article utilized frequency measures. "Coronavirus in the U.S.: Latest Map and Case Count" article indicated that the average new cases of coronavirus infections as of September 1, 2020, was 14% less than the average number of new coronavirus cases two weeks earlier (The New York Times, 1). The 14% decrease in coronavirus cases indicated that the article used frequency measures to represent the collected data.
Real-World Application
"Coronavirus in the U.S.: Latest Map and Case Count" article apply to the real world since the virus has fundamentally reordered American life. In the country, baseball games, parades, and concerts have been called off due to the pandemic. Furthermore, many people have lost their jobs and income and therefore struggling to meet their daily needs and afford to house. This article can be applied to predict the probable time to reopen the country because many people are indeed suffering. The article can also be used to determine when there is a downward trajectory of coronavirus cases, facilitating the country's reopening and resumption of initial American life.
Analysis
The New York Times chose to use discrete quantitative types of data to generate descriptive statistics. The New York Times used this data type because the data to be used is numeric, and statistical tests can be efficiently conducted. Typically, quantitative data type has a greater strength in providing descriptive statistics which employ automated or static means of data collection. Additionally, quantitative data type generally provides answers to an array of questions after being represented statistically. Some of these questions include the frequency of the phenomenon, such as the coronavirus and how it affects the sample. Indeed, the New York Times chose to use quantitative data in the article "Coronavirus in the U.S.: Latest Map and Case Count" because it produces reliable and factual data.
Conclusion
The descriptive statistic can play a vital role in predicting a particular phenomenon's effect on a sample. Since the data to be used in descriptive statistics is numeric, analysis of statistics can be quickly done. Due to country closure, the urge to reopen the country increases because most people suffer after losing their jobs or sent into unpaid leave. The New York Times wrote the article "Coronavirus in the U.S.: Latest Map and Case Count," which uses descriptive statistics to assist in predicting the return of normality. The article obtains its data from the various states in the country and analyses the data independently.
Source List
The New York Times, 2020. Coronavirus in the U.S.: Latest Map and Case Count. P.1. www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html
