MATH 225N Week 1 Discussion, Basic Statistics Data Used in Everyday Life, Quizzes of Mathematics

Download MATH 225N Week 1 Discussion, Basic Statistics Data Used in Everyday Life and more Quizzes Mathematics in PDF only on Docsity! MATH 225N Week 1 Discussion, Basic Statistics Data Used in Everyday Life 1. 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. 2. Classify each of your variables as qualitative or quantitative and explain why they fall into the category that you chose. 3. Also, classify each of the variables as to their level of measurement-- nominal, ordinal, interval or ratio--and justify your classifications. 4. Which type of sampling could you use to gather your data? (stratified, cluster, systematic, and convenience sampling) The two types of data I would use in this example is blood pressure and gender since this is a common measurement and demographic data we obtain from our patients. Blood pressure is a quantitative variable as it is a number that is measured. According to Holmes, “Quantitative data are the result of counting or measuring attributes of a population” (p. 9). The second variable I mentioned is gender. Gender falls into categorical data either female or male which would be qualitative data in which it categorizes or describes attributes of a population. Now gender is considered a nominal because gender is categorized either female or male. Blood pressure is a measurable number. The blood pressures vary amongst people and there is a difference between data. For example someone who has is healthy and has a normal BP of 120/80 and someone who is hypertensive 180/90. The type of sampling I’d use to gather data for gender would be stratified sample as I would be dividing the population into gender categories. And for blood pressure I would use convenience sampling because the data is readily available for me to use. In a study by Buang, Rahman, and Haque about attitudes and practice regarding hypertension, the sampling method used in the study was convenience sampling. It was chosen because of the limitation of time and cost and because data was readily available.