Levels of successful
This level of measurement may not be an accurate reflection of the actual economy because, the data itself may have errors. The two possible errors of the sampling method used are non-sampling error and sampling error. Non-sampling errors is from inaccuracies in collecting, and processing the data. An example would be if people declared employed but are still looking for full time work, declared unemployed who were not seeking work but still wants the benefits or, some people who declared not in the labor force because there were no job available so they gave up looking for work. Sampling errors occurs as a sample may not completely represent the entire population. However, there is 2/3 chances that the sample estimated will be different by less than one standard-error from the actual figure (actual figure would be obtained if the entire population was surveyed). In addition, there is 19/20 chance that the difference will be of less than two standard-errors and an average response rate for the last year being 97%. Therefore, the estimate is pretty reliable numerically.
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