MATH 225N Week 1 Discussion: Basic Statistics Data Used in Everyday Life – Temperature
Basic Statistics Data Used in Everyday Life –
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MATH 225N Week 1
MATH 225N
MATH225N
MATH 225N Week 1 Discussion: Basic Statistics Data Used in Everyday Life – Temperature
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)
NB: 2 Answers Displayed
Answer 1
Two types of data that I use in my everyday line of work are FIO2%, and blood glucose levels. FIO2% is the fraction of the amount of oxygen a patient is receiving via different devices such as BIPAP and ventilators. FIO2 would be an example of quantitative data, as it is numeric and can be measured, this is considered discrete data because it must be in a whole number percentage. You can’t have 30.5% FIO2. (Chamberlain Lesson 1) Blood sugar values are also an example quantitative data, for this is a measurable number. There are no decimals in blood glucose values so this also makes it discrete an example is a patient with a blood sugar of 97. Both of these forms of data would be considered as ratio, as they have true zero values. You can place your patient on room air and have no FIO2 and though I have never seen a blood sugar as low as zero, the fact is that the zero in this case is not just a placeholder for a difference as it is in Celsius or outdoor temperature. (Statistics 2019) FIO2 would best be gathered with systemic sampling. This is because not every patient is in use of a machine that is measuring FIO2. However blood sugar could be gathered from cluster sampling, everyone has a blood sugar value whether they are diabetic or not, but you could just look at patients with diabetes and measure blood glucose values to see if they are controlled or not. (Holmes 2017)
References
Chamberlain College of Nursing (2019) MAT-225 Week 1: Introduction to Statistics: Data Collection and Data Concepts. [Online Lesson]. Downers Grove, IL. DeVry Education Group.
Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory Business Statistics. OpenStax CNX. Retrieved from https://openstax.org/details/books/introductory-business-statistics
Statistics.laerd.com. (2019). Understanding the different types of variable in statistics. [online] Available at: https://statistics.laerd.com/statistical-guides/types-of-variable.php
Answer 2
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.
References:
Buang, N., Rahman, N., & Haque, M. (2019). Knowledge, attitude and practice regarding hypertension among residents in a housing area in Selangor, Malaysia. Medicine and pharmacy reports, 92(2), 145–152. doi:10.15386/mpr-1227
Holmes, A., Illowsky, B., & Dean, S. (2018). Introductory Business Statistics. Houston, TX: OpenStax. [Show Less]