Assignment Question
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. Writing Requirements Minimum of 2 posts (1 initial & 1 follow-up) APA format for in-text citations and list of references Grading This activity will be graded using the Discussion Grading Rubric. Review the following link: Link (webpage): Discussion Guidelines Course Outcomes
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.
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