C813___Health_Data_Statistics___Task_1_1.docx   C813- Task 1 Health Data Statistics Healthcare data can be used in statistical research and analysis. There are several types of data used in analysis. Discrete
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C813___Health_Data_Statistics___Task_1_1.docx   C813- Task 1 Health Data Statistics Healthcare data can be used in statistical research and analysis. There are several types of data used in analysis. Discrete data refers to data represented as a whole number. For example, a patients number of skin lesions or the number of skin surgeries. Continuous data refers to data that is represented by fractions or percentages (decimals). For example, a patients weight may be 150.4 pounds. Categorical data includes four different types, which are nominal, ordinal, interval and ratio. Nominal data refers to data in which a number is associated with certain characteristics. A patients physical characteristic, such as hair color can be nominal data. 1 – Blonde 2 – Brown 3 – Black 4 – Gray 5 – Red Ordinal data refers to data that is ranked or has a natural order. For example, heart disease is the leading cause of death among men. Heart disease would be ranked as number 1. Also, trauma center levels can be categorized as ordinal data. A Level 1 trauma center is the most complex and offers the most services as opposed to a Level 5 trauma center that is very limited. Interval data is data that is represented on a scale. For example, the difference between temperature ranges of the difference between test results. Ratio data is similar to interval data, except has no negative numerical value. The difference between two numbers is qualitative. For example, the difference between 75 and 80 years of a. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . .
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