Statistic Concepts and descriptive measures.docx Statistic Concepts and Descriptive Measurements QNT 561 Statistic Concepts and Descriptive Measurements ï¶Consumer Food ï‚·For each column, identify whether the da
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Statistic Concepts and descriptive measures.docx Statistic Concepts and Descriptive Measurements QNT 561 Statistic Concepts and Descriptive Measurements ï¶Consumer Food ï‚·For each column, identify whether the data is qualitative or quantitative. The data provided in each column is quantitative data because the data is in the form of numbers which is something that can be counted, measured, and expressed. While, qualitative data is something that is in the form of a description and holds concepts. Usually, qualitative data is defined by traits or characteristics of information (Pickell, 2019). ï‚·Identify the level of measurement for the data in each column. Interval = Columns A, B and C Interval level is the distance between consecutive numbers and the data is always numerical values (Black, 2017). Nominal = Columns D and E Nominal level is the lowest level of data management and it is most often used to classify or put information into categories (Black, 2017). ï‚·For each column containing quantitative data: oEvaluate the mean and median and Interpret the mean and median in plain non-technical terms. The median is the middle number between the lowest and highest number when wrote out in an ascending order. The mean is the total once you add all the numbers together and then divide that sum by the total amount of numbers there are. oMean {=average(cell#:cell#)} Column A Column B Column C Column D . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . .
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