MATH225 Week 1 Discussion: Basic Statistics Data Used in Everyday Life
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)
Follow-up Post Instructions
Respond to at least one peer. Further the dialogue by providing more information and clarification.
Your responses to other students can explain additional analyses that could be done with the variables they selected. Consider confounding variables, discrete or continuous data, the effects of outliers, etc.
SOLUTION MATH225 Week 1 Discussion: Basic Statistics Data Used in Everyday Life
Hello Class,
In the health field, data types vary widely, serving essential roles in patient care and diagnosis. Two commonly used variables are blood pressure and pain rating. Blood pressure is a quantitative variable because it provides a measurable numerical value representing the force of blood against arterial walls, typically recorded in millimeters of mercury (mmHg). This measure is classified on a ratio scale because it includes a true zero point indicating no blood pressure if blood flow ceases and allows for meaningful comparisons in terms of both differences and ratios. For example, a blood pressure reading of 120 mmHg can be interpreted as twice the pressure of a 60 mmHg reading (Chamberlain University, 2024). Given the large volume of patients requiring blood pressure monitoring, a systematic sampling approach could be effective, allowing healthcare providers to measure every fifth or tenth individual in a clinic to gather a representative sample efficiently…
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