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Rasmussen University
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A preliminary analysis of the dataset reveals that it is a study of 70 patients at the NCLEX Memorial Hospital, ranging in age from 42 to 84. Such information is gathered in order to assess patients and give better healthcare. Management and medical professionals will be unable to provide the best care to their patients if they are unable to make conclusions about the patient group covered by NCLEX. Disease, age, and infectious status are among the information gathered from the patients. Disease is a qualitative variable since it is defined by a specific state of being rather than a category or a number. Because it relates to a numerical category whose value can take any number, age is both quantitative and flexible. Because this variable refers to a finite number of numerical possibilities, it is both quantitative and discrete. Measures of central tendency are crucial in data analysis. These measures comprise a variety of approaches to assessing a set of data in order to discover data behavior and perform statistical analysis. The following are some examples of central tendency measures: Mean: 62.62 years. The mean represents the average of all ages in the sample. Median: 62.5 This is the value of the center point of data. Mode: 59 is the age that occurs most often in the sample. Midrange: 63 . Midrange represents the average of the highest and lowest ages. Range: 42 . The range is the different between the highest and lowest ages. Variance: 103.9 . Variance is a measu ...
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