I haven't been able to confirm the answer yet but here's what I believe:
'error and bias' in research terms questions the validity of the results you have found. If you are asked to relate error and bias to your research, they are asking you to share possible errors with the results and whether or not there could be any bias in the results collected.
Bias is systematic error. Random error is not.
A systematic error. This may arise because the measuring instrument is not properly calibrated or because there is a bias in recording the results.
Scientific method
Not chaotic behavior; a tendency to overcome bias (unpredictable short term)
anti-bias?
In stat the term bias is referred to a directional error in the estimator.
Bias is systematic error. Random error is not.
A systematic error. This may arise because the measuring instrument is not properly calibrated or because there is a bias in recording the results.
Sampling error leads to random error. Sampling bias leads to systematic error.
No, its not.
Alike:They are both an error that distort results in a particular way.Different: Emotional bias is distortion in cognition and decision making and expiremental bias is error that distorts results in a particular way.
Standard error is random error, represented by a standard deviation. Sampling error is systematic error, represented by a bias in the mean.
It must be either, otherwise it is systematic error or bias.
yes
bias
The major source of sampling error is sampling bias. Sampling bias is when the sample or people in the study are selected because they will side with the researcher. It is not random and therefore not an adequate sample.
how you act in a professional way