stastictis week1

.docx

School

Chamberlain University College of Nursing *

*We aren’t endorsed by this school

Course

225

Subject

Statistics

Date

Jan 9, 2024

Type

docx

Pages

Uploaded by Prativa.gyawali5531

Observable properties or characteristics of a group of people or population which cannot be measured numerically are Qualitative variables. "categorizing or describing attributes of a population" (Holmes, 2018). Qualitative variables are linked with a group of individual's physical quality. Qualitative variables are also called categorical variables, as those can be put in groups or categories. Qualitative variables are divided into three types, nominal, ordinal, and Dichotomous variables. Nominal qualitative variables do not allow a pattern of order and do not have any assigned numerical value. Although Ordinal qualitative variables do not allow mathematical relationships between their values to be observed it will enable an order to be established Quantitative variables are numerical variables. A quantitative variable can have a numerical value that can be represented in numbers. There are two types of Quantitative variables, discrete and continuous. Discrete quantitative variables only consider numbers within a scale of values that can be separated from each other, indicating specific values, and The discrete variables are identified by counting only finite values. Continuous quantitative variables are those that can take any value within its least value and its maximum value. For this week's discussion, The Two different types of variables that I chose that are used in the healthcare field are gender and pulse oximetry. Gender falls into qualitative variables. Since Qualitative variables are those Observable properties or characteristics of a group of people or populations that cannot be measured numerically and linked with a group of individual's physical quality, gender falls in qualitative variables. Like biological sex, gender identity also falls under the nominal qualitative variable. According to the Annals of Cardiac Anesthesia, Nominal data is defined simply as "names or properties having two or more categories, and there is no intrinsic ordering to the categories" (Mishra,

Pandey, Singh, & Gupta, 2018). Since there Is no ordering of the categories in gender, I would classify the gender in nominal qualitative variables. Another variable that I choose for this week is pulse oximetry. Pulse oximetry is a quantitative date because they consist of numbers. And as already described above, Quantitative variables are numerical variables. Holmes, lllowsky & Dean, (2018) explains quantitative data as being a number or a, "result of counting or measuring." Since we count pulse oximetry in numbers, it falls under quantitative variables. After I read the week 1 lesson, it was interesting to know that the pulse oximetry reading is considered or falls under discrete quantitative variables because it is regarded as a whole number. I would use A convenience sample method for gender, which is a type of non-probability sampling method. I can simply ask the gender to a person directly, which is easy to reach and contact. And I would use The sample that I would use to gather pulse oxymetry would be the stratified sampling. We can take a sampling from a group in each department of the health care facility. Also, we can divide them into small groups divided by age, gender, or race. References Mishra, P., Pandey, C., Singh, U., & Gupta, A. (2018). Scales of measurement and presentation of statistical data. Annals of Cardiac Anaesthesia, 21 (4), 419-422. doi:10.4103/aca.aca_131_18

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