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simply speaking, systematic errors are those you can improve on( so if you have a systematic error, its probably your fault). Random errors are unpredictable and cannot be corrected. A parallax error can be corrected by you and if there is a parallax error, its probably your fault.
it is dangerous to jump out of a movinng vehicle because you can get very injured and it cant really be minimized much unless the thing is going as slow as a snail :)
by using shielding material with low Z..
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It is random.
The only way to minimize random error is to repeat the experiment more times to get a better average. This means your result is accurate but not percise
No, they cannot be eliminated. They can be greatly minimized to reduce errors though.Determinate errorshave a definite direction and magnitude and have an assignable cause (their cause can be determined). Determinate error is also called systematic error. Determinate error can (theoretically) be eliminated.Indeterminate errorsarise from uncertainties in a measurement as discussed above. Indeterminate error is also called random error, or noise. Indeterminate error can be minimized but cannot be eliminated.SOURCE: http://chemlabs.uoregon.edu/Classes/Exton/Misc/determinate.html
minize creeping errors
Bias is systematic error. Random error is not.
how to reduce the problem of random error and systematic error while doing an experiment
Random error and sample size have an inverse relationship...As sample size INCREASES random error DECREASES. There's a good explanation at the related link.
A stochastic error indicates an error that is random between measurements. Stochastics typically occur through the sum of many random errors.
Random errors can be parallax and from changes in the environment.
No, its not.
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Systemic or precisely Systematic Error in a reading taken by an instrument occurs due to the parts installed in it. Random error occurs when we get a number of repetitive readings during the same experiment because of human error. Perfect example for random is "Parallax Method".
The only way to minimize random error is to repeat the experiment more times to get a better average. This means your result is accurate but not percise