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)
Hi class,
I hope I get this right.
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.
This study source was downloaded by 100000859565436 from CourseHero.com on 01-13-2023 12:56:31 GMT -06:00
https://www.coursehero.com/file/45182285/Week-1-discussiondocx/
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)
Hi class,
I hope I get this right.
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.
This study source was downloaded by 100000859565436 from CourseHero.com on 01-13-2023 12:56:31 GMT -06:00
https://www.coursehero.com/file/45182285/Week-1-discussiondocx/
