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Whats the difference between random errors and systematic errors?
Random errors - Random errors can be evaluated through statistical analysis and can be reduced by averaging over a large number of observations. Systematic errors - Systematic errors are difficult to detect and cannot be analyzed statistically, because all of the data is off in the same direction (either to high or too low). Spotting and correcting for systematic error takes a lot of care.
What errors in your technique could cause the line not to go through zero?
Some of the reasons are: Systematic measurement errors. Random measurement errors. Poor use of equipment. Recording errors. Calculation errors. Poor plotting. Wrong model.
To cut the maximum likely error in half the sample size should be?
... should be increased by a factor of 4. Note that this implies that the only errors are statistical (random) in nature; increasing the sample size won't improve systematic errors.
What are the causes of non-sampling errors?
non response, in accurate response and selection bias
Explain the different types of errors during measurement Experimental systematic random and zero errors Methods of error reduction?
When your program 'doesn't understand you' or 'doesn't do what you want it to do'. In the latter case, it is also called a bug.There are three types of errors:compile errors. These are given by your compiler and prevents your program from running.linking errors. These are given by you linker or at runtime. Ends your program.runtime errors. These are given by the operating system.Clicking on each of these error will give you a list of possible errors.Removing errors is called debugging.
