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where s.d. is the standard deviation and n is the number of observations in each group.
Overall, we produced 8 site means with 15 individual observations in each site, directly analogous to our empirical data.
The observations in each category should address the same topic or issue.
In RSS, the variance of observations in each ranked set plays an important role in finding an optimal design for unbalanced RSS and in inferring the population mean.
Further, the control law is applicable with just two vector observations in each satellite, and hence making redundant, complete attitude information.
As the number of observations in each sample increases, the distribution of these averages becomes more and more similar to the normal distribution.
We therefore standardized species observations in each depth interval by applying a multiplier equal to the average dive time in the most heavily sampled depth interval divided by the average dive time in each respective interval.
The approximate polynomial trajectory model for the flying ball is built to optimize the best parameters from the asynchronous observations in each discrete temporal interval.
Percentage of observations in each regime: 11.4, 69.3, and 19.3%.
Box width is proportional to the number of observations in each soil parent material type.
The data was pooled in order to increase the number of relevant observations in each case.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com