Read/review the following resources for this activity:
- OpenStax Textbook: Chapter 1
- Lesson 1 Reading
- Minimum of 1 scholarly source
In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).
Initial Post Instructions
- Present two different types of data, or variables, used in the health field. Examples could be blood pressure, temperature, pH, pain rating scales, pulse oximetry, % hematocrit, minute respiration, gender, age, ethnicity, etc.
- Classify each of your variables as qualitative or quantitative and explain why they fall into the category that you chose.
- Also, classify each of the variables as to their level of measurement–nominal, ordinal, interval or ratio–and justify your classifications.
- Which type of sampling could you use to gather your data? (stratified, cluster, systematic, and convenience sampling)
In the field of healthcare, the imperative role of data cannot be overlooked. This is attributed to the fact that collected data helps in making critical decisions aimed at improving patient outcomes. In this discussion, the selected variables are temperature and gender. Temperature is quantitative data while gender is qualitative data. According to Holmes, Barbra, Susan (2017), quantitative data take into account measures of values or counts. As such, they are expressed as numbers. In other words, quantitative data are data about numeric variables…Click link below to purchase full tutorial at $5