UCC Statistics in Nursing Discussion
Description
CO 1: Given scenarios supported by population data, apply sampling techniques and explain potential pitfalls and bias in data collection.
CO 2: Given datasets with qualitative and quantitative data, differentiate between the types of data and how they can be applied in statistical studies for everyday life
- OpenStax Textbook: Chapter 1https://openstax.org/details/books/introductory-business-statistic
- Lesson 1 Reading
- Minimum of 1 scholarly source AND one appropriate resource such as the textbook, math video and/or math website
In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s
- 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)
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