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Title: An Exhalent Problem for Teaching Statistics
Url: https://ww2.amstat.org/publications/jse/v13n2/datasets.kahn.html
Creator: Kahn, Michael J.
Publisher: Wheaton College
Description: The dataset, created by Michael J. Kahn of Wheaton College, presented in this article, contains information on respiratory function and smoking. The data can be used to explore descriptive statistics, graphical analysis, regression, and observational studies. This paper provides a description of the problem, the data and also analyzes several issues with quantifying the relationship between these variables. This is a nice introduction in the into how statistics can be applied in real life situations. The data are in .dat format.
LC Classification: Medicine -- Public aspects of medicine -- Public health. Hygiene. Preventive medicine -- Chronic and noninfectious diseases and public health -- Individual diseases or groups of diseases, A-Z -- Tobacco habit. Smoking
Science -- Mathematics -- Mathematical statistics -- Addresses, essays, lectures
Science -- Mathematics -- Mathematical statistics -- Multivariate analysis -- Regression analysis. Correlation analysis
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
GEM Subject: Health
Mathematics -- Statistics
Key Concept: Mathematics -- Correlation
Mathematics -- Statistics
Date Issued: 2005
Resource Type: Dataset (DCMI Type Vocabulary)
Instructional Materials
Mathematics Materials
Teaching Guides
Format: html
Audience: College/University Instructors
Higher Education
Secondary Education
Technical School First Cycle
Technical School Second Cycle
University First Cycle
University Second Cycle
Vocational Training
Language: English
Rights: Michael Kahn
Access Rights: Free access
Source: CAUSEweb
Full Record Views: 25
Resource URL Clicks: 4
Cumulative Rating: NOT YET RATED
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