stats week 1 discussion

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Chamberlain College of Nursing *

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225N

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Statistics

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Jan 9, 2024

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docx

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1

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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) Apgar score and weight are the two variables I chose. Apgar score and weight are both quantitative data because of their numerical value. While Apgar scores are considered discrete, weight can be classified as continuous. “Continuous variable can theoretically take infinitely many values in a given range” (Mayya et al., 2017). Mayya et al. goes on to state “Discrete variable (discontinuous variable) can take only specified number of values in a given range” (2017). Both variables are classified as ratio because zero means nothing. One cannot have an Apgar score less than zero or cannot weigh less than zero. If I wanted to figure out the average Apgar score and the average weight for infants born at the hospital in my town I would use stratified sampling. “A stratified sample is a defined subgroup of the population. A stratified sample would include a similar percentage in the sample as represented in the populations” (Week 1 Lesson: Introduction to Statistics: Data Collection and Data Concepts, 2021). References Chamberlain University. (2021). Week 1 lesson: Introduction to statistics: Data collection and data concepts. https://chamberlain.instructure.com/courses/79232/pages/week-1-lesson-introduction-to- statistics-data-collection-and-data-concepts?module_item_id=10940486 Mayya, S. S., Monteiro, A. D., & Ganapathy, S. (2017). Types of biological variables. Journal of thoracic disease , 9 (6), 1730.
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