(SOLUTION) MATH225N 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)

Follow-Up Post Instructions

Respond to at least one peer. 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 2 posts (1 initial & 1 follow-up)
  • APA format for in-text citations and list of references

Grading

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 Recommended by Wednesday

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

Posts must be on two separate days.

SOLUTION

Based on Jassal, O’Keefe-McCarthy, Banner, and Kandola (2014), a few things to think about when selecting a sampling design will be the issue, the own personal experiences of yours, and the intended market. You need to make sure that the sample best represents the whole. General you will wish to make use of likelihood sampling where individuals have an independent and equal possibility of preferred. Some these styles are easy random sampling, cluster sampling, stratified sampling, systematic sampling, and multi stage sampling. Please click on the purchase button to access the entire copy at $5