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The AM data were collected for 48 h and then averaged.
We wished to determine; (1) if the two brands produce different group mean predictions of PA (bias) and/or large within-subject differences (variance), and (2) if there are large biases and variance differences between the AMs, what is the result of converting the AM data from one brand to another?
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The reason is data.
In all cases, the core is data.
The problem is data analysis.
The key, is data.
The thing is: Data is universally terrible.
The first was data.
Except the sand is data.
The initial problem was data.
"The new oil is data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com