Make a follow-up of a student’s weekly discussion and respond with your opinionregarding to her post
——You don’t have to post this in APA formatnecessarily, it’s just giving feedback to the student with a paragraph, it doesn’t have to be a lot of text—-
Blood pressure and gender are two types of data used in the health field. Gender is classified as qualitative, while blood pressure is classified as quantitative. There are generally words or letters that describe qualitative (categorical) data. Statistical data are derived from counting or measuring attributes of a population (Holmes, Illowsky, and Dean, 2017). As blood pressure is numerical and can be measured, it falls under the quantitative category. The gender category is non-numerical and is categorized as male or female. According to my understanding, blood pressure can be classified on a ratio scale. Ratio scales have a set value between units, a set order, and an absolute zero. With a true zero, it is an interval scale. It is similar to intervals in that it has a natural order and the difference between any two points is equal. Nevertheless, ratio data do have a natural zero point” (wtfstats.wordpress.com, 2014). My understanding is that gender can be classified on a nominal scale. Nominal scales can be used to ask demographic questions, such as What is your gender? Nominal scales are also called categorical variables because their values determine what category they belong to (wtfstats.wordpress.com, 2014). In the hospital setting, I would use convenience sampling to collect blood pressure data, since the data is readily available. For gathering gender data, I would use stratified sampling since I would divide the population based on gender. These sampling methods will, of course, depend on my research objectives. Depending on the cost, accuracy, and sampling technique, I would choose the method that would help me achieve my research goal.
Reference:
Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory business statistics. OpenStax. https://openstax.org/details/books/introductory-business-statistics Links to an external site.
Wtfstats.wordpress.com (2014). Levels of measurement: Nominal, ordinal, interval, ratio. https://wtfstats.wordpress.com/2014/10/14/levels-of-measurement-nominalordinal-interval-ratio/ Links to an external site.