(Solution) Math 225 Week 1 Discussion: Basic Statistics Data Used in Everyday Life

Required Resources

Read/review the following resources for this activity:

  • OpenStax Textbook: Chapter 1
  • Lesson 1 Reading
  • Minimum of 1 scholarly source

In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).

Initial Post Instructions

  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)

Solution:

The variables selected in this case are gender and blood temperature. Qualitative and quantitative variables are usually differentiated on the basis of whether they can be measured numerically (Peat & Barton, 2008). Gender is a qualitative variable owing to the fact that it is impossible to measure it numerically. When it comes to blood temperature, it is a quantitative variable owing to the fact it can be measured numerically. With the further classification of these variables, it can be said that gender is a nominal variable as no natural ordering occurs to determine the type of gender. In this case, there is no natural order occurring that, say, for instance, determines the number of males and females in a given location. On the other hand, blood temperature can…Please click the icon below to purchase full answer at only $5