(Solution) Math225 Week 1 Discussion: Basic Statistics Data Used in Everyday Life

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)

Follow-Up Post Instructions

Respond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification.

Your responses to other students can explain additional analyses that could be done with the variables they selected. Consider confounding variables, discrete or continuous data, the effects of outliers, etc.

Writing Requirements

  • Minimum of 3 posts (1 initial & 2 follow-up)
  • APA format for in-text citations and list of references


This activity will be graded using the Discussion Grading Rubric. Please review the following link:

Course Outcomes (CO): 1, 2

Due Date for Initial Post: By 11:59 p.m. MT on Wednesday

Due Date for Follow-Up Posts: By 11:59 p.m. MT on Sunday


As nurses, we work with many variables. These include blood type, gender, ethnicity, temperature, pulse rate, blood pressure, and weight, among others. Among these, I will focus on blood type and temperature in this discussion. Temperature is a quantitative variable. These are gauged using a quantitative or numeric variable (Holmes, Illowsky, & Dean, 2018). In dealing with such variables, one can use either the interval or ratio scale. The interval scale comprises of a specific interval, labels, and order. The ratio scale comprises the same elements, with the addition that it can contain a true zero(Holmes, Illowsky, & Dean, 2018). As a result…..Please click here to download at $5