just wanted to use a little bit of stats in my report because I plan on using it to send to employers as a sample of my work as I hope it may help to find employment.
To paraphrase what pfau_tarleton noted about statistics: Bad use of statistics is far worse than inclusion of no statistics whatsoever. Consider it an case study in the adage, “Better to remain silent and be thought a fool than to speak and to remove all doubt.”
It really doesn’t make sense here and you haven’t calculated the standard deviation. This is a basic overview of how someone calculates a standard deviation from a data set: https://www.mathsisfun.com/data/standard-deviation-formulas.html
For standard deviations, one is usually trying to estimate the variance of a particular measurement. For example, if I measured the number of bugs caught in different traps, all in the same forest. Here’s the number of bugs in each trap:
99,3,47,39,72,56,17,18,36,74,66,68,95,50,30,26,22,77,35,62,60,74,48,66,27,49,84,21,58,77,61,91,73
That could be summarized by a mean of 53.4 bugs/trap, and a standard deviation of 24.8 bugs/trap, indicating that it was highly variable. I might also report the maximum (99) and the minimum (3) to give a sense of the range.
For how to create a project: https://inaturalist.ca/pages/managing-projects
For how to create a place: https://www.inaturalist.ca/pages/getting+started (see the “Place” tab).
What do you mean? By independant method?
It means that the method has been independently validated. Here’s a decent explanation in generic terms:
What is validation?
“The confirmation by examination and the provision of objective evidence that the particular requirements for a specific intended use are fulfilled”
- specific intended use = analytical requirement
- objective evidence = experimental data (method performance parameters)
- confirmation (from comparison of requirements with evidence)
Source
Unless you have some strong scientific expertise, it’s better to rely on standard methods. And again, cite the study which demonstrates the effectiveness and suitability of the method.