COVID-19 后人类生活方式变化的统计研究:个案研究

Pitambar Y. Patil
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摘要

本研究文章探讨了 Covid-19 大流行后人类生活方式的变化。我们对 COVID-19 大流行后与人类生活相关的各种因素进行了在线抽样调查。调查结束后,我们将答复分为不同类别,尤其是感染 COVID-19 和未感染 COVID-19 的答复。我们检验了所有受访者的各种人类生活方式中,属于特定人类生活方式的比例是否达到或超过 1:1。我们还比较了感染者和非感染者中各种人类生活方式的比例。我们计算 Z 统计量来检验这些人类行为比例的统计意义。每个检验都会得出 p 值,这有助于我们了解观察到的 Z 统计量值对于拒绝有关各种人类生活方式的虚无假设有多大意义。
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STATISTICAL STUDY OF CHANGE IN HUMAN LIFESTYLE AFTER COVID-19: A CASE STUDY
This research article studies the change in human lifestyle after Covid–19 pandemic. We have conducted an online sample survey about various factors associated with human life after the COVID-19 pandemic. After this survey, we have classified responses into various categories, especially infected and non-infected by COVID–19. We test whether various human lifestyles in all respondents are divided into the ratio 1:1 or more proportion belonging to the specified human lifestyle. We also compare the proportions of various human lifestyles in infected and non-infected categories. We compute the Z-statistic to test the statistical significance of these proportions of human behaviors. p–values are obtained for each of these tests, which helps us to know how much the observed value of Z-Statistic is significant for rejecting the null hypotheses about various human lifestyles. p–values are probabilities, which always take values between 0 to 1. The smaller p-value supports rejecting the null hypothesis in favor of its alternative, whereas the larger p–value supports accepting the null hypothesis.
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