Distinguish between sampling error and nonsampling error.
What will be an ideal response?
Sampling error is any bias that results from mistakes in either the selection process for prospective sampling units or in determining the sample size. Moreover, random sampling error tends to occur because of chance variations in the selection of sampling units. Even if the sampling units are properly selected, those units still might not be a perfect representation of the defined target population, but they generally are reliable estimates.
Nonsampling error occurs regardless of whether a sample or a census is used. These errors can occur at any stage of a research process. In general, the more extensive a study, the greater the potential for nonsampling errors. Unlike sampling error, there are no statistical procedures to assess the impact of nonsampling errors on the quality of the data collected. Nonsampling errors usually are related to the accuracy of the data, whereas sampling errors relate to the representativeness of the sample to the defined target population.
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What will be an ideal response?
The standard deviation of the standard normal distribution is equal to ________
Fill in the blank with correct word.