i believe it is how valid or accurate the experimental data comes out.
The ability to apply findings to other populations
Before your hypothesis can advance to the status of a theory, it must pass an experimental test, to confirm its validity.
for Gate exam there is a validity but i think for pgeset there is no validity.
Accounting for errors in an experiment will determine the validity and reliability to the experiment. This, in turn, will either support the experimental results by accepting the null hypothesis or to discard the experimental results by rejecting the null hypothesis
We are currently in the experimental stage.They have a very experimental love live.These experimental conditions are not good enough.
Experimental proof of their ideas validity.
The ability to apply findings to other populations
bias
External validity
That is determined by how well the theory stands up under experimental scrutiny.
The sample size has no effect on the validity of an experiment: instead, it is the experimental procedure and integrity of the experimenters.The sample size can affect conclusions that may be drawn from an experiment. The larger the sample is, the more reliable these conclusions are.
Before your hypothesis can advance to the status of a theory, it must pass an experimental test, to confirm its validity.
The data will be neglected because people will consider it to be wrong.Hence they will try to find other proofs which may be more correct.
If you gain internal validity do you lose external validity
It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.
for Gate exam there is a validity but i think for pgeset there is no validity.
examples of internal and external validity