Visualization [General Statistics]
Dear all,
for anyone interested in the setup please follow this link.
Around 0:42 into the educational journey you will see an early analog version of a cattle prod (actually back then the concenpt was only semi-developed so some may call it only a cat prod), and a few seconds later you will witness the natural consequence of the prod's encounter with it's intended biological target. I believe the reaction here amounts to only roughly 115 dB, arguably because of the relative lack of advanced settings and the choice of population.
for anyone interested in the setup please follow this link.
Around 0:42 into the educational journey you will see an early analog version of a cattle prod (actually back then the concenpt was only semi-developed so some may call it only a cat prod), and a few seconds later you will witness the natural consequence of the prod's encounter with it's intended biological target. I believe the reaction here amounts to only roughly 115 dB, arguably because of the relative lack of advanced settings and the choice of population.
—
Pass or fail!
ElMaestro
Pass or fail!
ElMaestro
Complete thread:
- Goodness of fits: one model, different datasets ElMaestro 2017-10-06 23:01
- Goodness of fits: one model, different datasets nobody 2017-10-07 16:03
- Experimental setup, details ElMaestro 2017-10-07 18:06
- VisualizationElMaestro 2017-10-07 19:07
- multiple regression? Helmut 2017-10-08 17:17
- just y=ax+b ElMaestro 2017-10-08 17:30
- just y=ax+b Helmut 2017-10-08 17:35
- just y=ax+b ElMaestro 2017-10-08 17:50
- just y=ax+b nobody 2017-10-08 20:26
- ANCOVA with R? yjlee168 2017-10-08 21:28
- just y=ax+b DavidManteigas 2017-10-09 10:34
- just y=ax+b nobody 2017-10-09 10:45
- just y=ax+b Helmut 2017-10-10 18:15
- just y=ax+b ElMaestro 2017-10-08 17:50
- just y=ax+b Helmut 2017-10-08 17:35
- just y=ax+b ElMaestro 2017-10-08 17:30
- Experimental setup, details ElMaestro 2017-10-07 18:06
- Goodness of fits: one model, different datasets nobody 2017-10-07 16:03