Description
As nominal, ordinal, interval, or ratio. Provide a brief explanation where indicated.
Given what you've learned in this module about the meaning of statistic choose one of the examples from Part I (1-6),
and raise a relevant question of your own that could be answered by a statistician. Then without answering your own question, explain how a pattern could be studied or a useful prediction made based on data that are to be collected.
Part III Quantitative vs. Qualitative Data approximately 1-1/2 pages
A health scientist wishes to measure how well participants diagnosed with Post Traumatic Stress Disorder are coping. Explain how a variable such as coping could be measured quantitively or qualitatively.
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Explanation & Answer
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Running Head: INTRODUCTION TO HEALTH STATISTICS
Introduction to Health Statistics
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INTRODUCTION TO HEALTH STATISTICS
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1. A researcher studying lifespan categorizes individuals into single, married,
divorced, or widowed. What type of variable measurement is this?
This is a nominal variable measurement considering that it is categorical and does not
have numeric value. There is also no rank or order in these categories, (Marchiori, 2018).
1. A cognitive scientist places her subjects into categories based on how anxious
they tell her that they are feeling: “not anxious”, “mildly anxious”, “moderately
anxious” and “severely anxious”, and she uses the numbers 0, 1, 2 and 3 to label
categories where lower numbers indicate less anxiety. What type of variable
measurement is this? Are the categories mutually exclusive?
This is an ordinal variable measurement. These categories are mutually exclusive
considering that they all have different level of outcomes or meanings. The values can also be
used to calculate the mean but not the difference.
2. A Physician diagnoses the presence or absence of disease (i.e. yes or no). What
type of variable measurement is this?
This is a nominal variable m...