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Electrifying Statistics for Your Students
Author(s) -
Rycraft Michael
Publication year - 1995
Publication title -
teaching statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.425
H-Index - 13
eISSN - 1467-9639
pISSN - 0141-982X
DOI - 10.1111/j.1467-9639.1995.tb00872.x
Subject(s) - computer science , statistical analysis , tariff , econometrics , electricity , mathematics education , statistics , operations research , economics , mathematics , engineering , international trade , electrical engineering
Summary The problem of which electricity tariff is the most economical is considered for some different situations. Given the uncertainty of estimating exact usage in advance, various statistical concerns are mentioned, many of which lend themselves to classroom demonstrations.