Government frames parameters for division of taxpayers under GST States will administer and control 90 per cent of the assessees below Rs 1.5 crore annual turnover, and the remaining 10 per cent coming under the Centre.GST: Centre, states to divide taxpayer base The division will also clearly fix the responsibility for raising awareness about GST, with bulk of small traders falling within the jurisdiction of states.Tighter H-1B visa verification process recommended "The agency lacks performance measures to show how site visits contribute to improving the H-1B Program," the Inspector General said.View: Combining sampling and testing can be most effective to get the economy back on track Governments can combine strategies to conduct randomised testing to plan exit out of lockdown."It may be noted that these steps are being taken to ensure the good health and safety of every citizen of the country so that the subsequent problems do not arise," the release said. Int'l passengers subject to random COVID sampling can leave airport after giving samples: Ministry of Civil Aviation The ministry said the FAQs are being issued for better understanding of the passengers and to enable them for safe, secure and hassle-free international air travel.The minister added that the continuously evolving nature of the virus poses threat to global health. Step up surveillance, wear masks, warns Union Health Minister amid COVID-19 concerns During the ongoing Lok Sabha session, Mandaviya extolled the importance of masking and sanitising as the threat of a fresh wave of infections looms large, especially as festivals and new year celebrations roll around. Planning a trip to Taj Mahal in 2023? Find latest COVID rules here Health Minister Mansukh Mandaviya said in the Lok Sabha that states must be vigilant against the coronavirus.2% random sampling of international passengers has begun at all international airports to minimise risk of ingress of new variants. Random tests on international passengers have begun: Mansukh Mandaviya informs Parliament States should ensure coverage of Covid-19 vaccine's precaution doses were increased and awareness raised.For example, if a company wants to carry out a survey and intends to deploy random sampling, in that case, there should be total number of employees and there is a possibility that all the employees are spread across different regions which make the process of survey little difficult. One of the disadvantages of random sampling is the fact that it requires a complete list of population. Hence, some variations when drawing results can come up, which is known as a sampling error. For example when we took out the sample of 30 employees from the total population of 300 employees, there is always a possibility that a researcher might end up picking over 25 men even if the population consists of 200 men and 100 women. But, there is always a possibility that the group or the sample does not represent the population as a whole, in that case, any random variation is termed as a sampling error.Īn unbiased random sample is important for drawing conclusions. Each member of the workforce has an equal opportunity of being chosen because all the employees which were chosen to be part of the survey were selected randomly. In this case, the population is the total number of employees in the company and the sample group of 30 employees is the sample. For example, the total workforce in organisations is 300 and to conduct a survey, a sample group of 30 employees is selected to do the survey. Under random sampling, each member of the subset carries an equal opportunity of being chosen as a part of the sampling process. If for some reasons, the sample does not represent the population, the variation is called a sampling error.ĭescription: Random sampling is one of the simplest forms of collecting data from the total population. A sample chosen randomly is meant to be an unbiased representation of the total population. Definition: Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen.
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