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Title: Electric Bill Data
Url: http://jse.amstat.org/v11n1/datasets.mclaren.html
Creator: McLaren, Bruce J.
McLaren, Constance H.
Publisher: American Statistical Association
Indiana State University
Description: This article, created by Bruce J. McLaren and Constance H. McLaren from Indiana State University, describes a dataset containing monthly household electric billing charges for ten years. The data can be used to illustrate graphing, descriptive statistics, correlation, seasonal decomposition, a variety of smoothing methods, ARIMA models, forecasting, and multiple regression. Additionally, the authors have created seven different assignments testing students knowledge of these subjects. This is a great lesson in applied statistics.
LC Classification: Bibliography. Library science. Information resources (General) -- Subject bibliography -- Forecasting
Science -- Mathematics -- Mathematical statistics -- Multivariate analysis -- Regression analysis. Correlation analysis
Science -- Mathematics -- Mathematical statistics -- Time series analysis
Science -- Physics -- Electricity and magnetism -- Electricity
GEM Subject: Mathematics -- Statistics
Key Concept: Mathematics -- Correlation
Mathematics -- Statistics
Physics -- Electricity
Date Issued: 2003
Resource Type: Dataset
Reference Material
Instructional Material
Instructional Material -- Instructor Guide/Manual
Format: Document -- HTML
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Rights: Constance H. McLaren, Bruce J. McLaren
Access Rights: Free access
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Source: CAUSEweb
Full Record Views: 34
Resource URL Clicks: 37
Cumulative Rating: NOT YET RATED
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