How do statistical and systematic uncertainties differ?
- Both shrink with more data
- Statistical shrinks with data, systematic does not
- Both grow with more data
What is accuracy?
- Closeness to the truth
- Tight clustering of repeats
- A long method section
How many digits should a result show?
- Every digit the calculator shows
- Round to earned precision and state the rule
- Hide the uncertainty entirely
What must a method section contain?
- Instruments, settings, calibrations, sizes, steps
- Adjectives and slogans
- Only the final claim
What makes a figure stand alone?
- 3D effects and bright colors
- As many digits as possible
- Labeled axes, legend, bars, claiming caption
What should a figure caption state?
- The claim the figure supports
- The hobbies of the authors
- The name of the journal
Lee reports a bare number with no uncertainty. What is wrong?
- Numbers need no context at all
- Uncertainty belongs in captions only
- A result is a number plus its uncertainty
What is the repeatability test?
- The figure uses color
- Another group can redo it from the description
- The result shows many digits
Writing a result others can check W1-mt_uUQ4gKXTN0-s1
- Statistical shrinks with data, systematic does not · Only the statistical part averages down.
- Closeness to the truth · Accuracy aims at truth; precision aims at clustering.
- Round to earned precision and state the rule · Digits beyond the error bar are fiction.
- Instruments, settings, calibrations, sizes, steps · Repeatability needs the full recipe.
- Labeled axes, legend, bars, claiming caption · Axes, legend, bars, and caption carry the claim without the text.
- The claim the figure supports · The caption carries the claim, not decoration.
- A result is a number plus its uncertainty · Bare numbers promise more than they know.
- Another group can redo it from the description · Redoability from text alone is the bar.