Tests
Analysis of Variance
Chi Square
F-Test
Means:
t-Tests
Regression
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Writing Papers
109 Resources
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Text: mean alone is alright if the sample
size and error are shown in a figure or table. If not give the mean (± error, n). In the
methods indicate the type of error being used (either standard deviation or standard error of the mean).
Figure: mean (± error bar) Indicate in
the caption the type of error bar used (either standard error of the mean or 95% confidence interval).
Table: mean ± error Indicate
in the footnote the type of error used (either standard deviation, standard error of the mean or 95% confidence
interval)
Text: (Test Name, F =, p =)
Figure/Table: (Test Name, F = , dflarge
=, dfsmall = , p = ) Place information in the caption/footnote. Back
t-Tests: One
Sample t-Test, Paired t-Test, Two Sample t-Test |
Text: (Test Name, t =, p =)
Figure/Table: (Test Name, t = , df =, p =) Place information in
the caption/footnote. Back
Analysis of Variance: ANOVA, GLM |
In both the text and figures/tables use subscripts on F and p to indicate source of value. For GLM report all
F and p values if even one is significant.
Text: (Test Name, F = all values , p = all values)
Figure/Table: Test Name, F = all values, dffactor(s)
=, dferror = , p = all values. Note for df give all except total.
Place information in the caption/footnote.
Example: GLM fertilzation, spacing, interaction F = _,_,_,_; df=_,_,_,_; p=_,_,_,_.
Back
Text: (Test Name, X2 =, p =)
Figure/Table: (Test Name, X2 = , df
=, p =) Place information in the caption/footnote. Back
Text: (R2 =, ANOVA p = )
Figure/Table: (Equation, R2 =, ANOVA p =) Place information
in the caption/footnote. Back
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