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koning a population mean (e.g. mean income per person) or proportion (e.g. proportion of voters favouring the Brexit vote). However, the problem with surveys is that information costs money and as a result, the experimenter must determine how much information he or she needs. Too little information prevents the experimenter from making good estimates, whereas too much of it results in a waste of money. So, the purpose of sampling is to reduce this cost and/or the amount of data that it would take to survey the entire target population, [see 2, “Survey Sampling”, para. 1]. According to Graham Kalton [see 3], sample surveys are nowadays widely accepted as a means of providing statistical data on an extensive range of subjects for both research and administrative purposes. Indeed, businesses and researchers have the need to conduct surveys for several reasons. To begin with, the main purpose is to uncover answers regarding the investigating subject by gathering meaningful opinions, comments, and feedback. Secondly, a survey evokes discussion, gives the survey respondents an opportunity to discuss important key topics and helps the experimenter to dig deeper into the survey and can incite related topics with a broader perspective. Finally, the most important objectives are to base the business decisions on unbiased information and compare results for providing a well-based conclusion for your target survey population. One of the most common real life examples is that governments make considerable use of surveys to get informed of the conditions of their populations in terms of employment and unemployment, income and expenditure, housing conditions, education, nutrition, health, travel patterns, and many other subjects. They also conduct surveys of organisations such as manufacturers, retail outlets, farms, schools, and hospitals. Local governments equally make use of surveys for local planning purposes. Generally, surveys are also used in many other sciences such as sociology, political science, education and public health, [see 3, Kalton 1983] This report will include a description of statistical techniques that are associated with a survey sampling, typical outputs generated by each of them and some explanations on how to interpret those outputs. Last but not least, some real life examples will be addressed and a critical evaluation of the top

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