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Suitable Sample Of Quantitative Data For The Business Scenario

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Introduction “Activity data is a form of human actions that can be converted into a computer to show actionable insight into that data. To analysis and interpret this data brings a broader picture to a business mind frame, set decisions and challenges.”(Kay, D. & Harmelen, M. V. 2015) Suitable sample of quantitative data for the business scenario In this scenario, the data is inappropriate for a business quantitative sample because the information was obtained during the highest peak of the season. The information obtained is a preconceived notion based on the highest peak of the company’s business. The data is not accurate to use because the highest peak of the season is based on just a few weeks, not a full year which makes this information bias. By using this information, it suggests to customers that the café receives this amount of business throughout the year. Researchers have argued that having an ample enough of data is to be based on a professional sampling technique. A professional sampling technique is a formula that stands as being unbiased, with this technique this would be the best way to attain a clear and suitable decision. Zikmund formula is based on levels of assurance and estimated sampling error (Mlane, n.d). The factors that would affect the validity of data set The factors that would affect the validity of the data set are based on the instability of the café ability to have a consistent flow of guests. With the café unable to produce a steady flow

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