Question

1. How are Sampling Errors and Nonsampling Errors different?

2. What types of errors do you feel are most critical?

(It needs to be about 2 paragraphs)

Answer 1

Difference between sampling error and non samppling error?
Answer:

Difference between sampling error and non-samling error:
(1) A sampling error arises in a data collection process as a result of taking a sample from a population rather than using the whole population.
Non sampling error arises in a data collection process as a result of factors other than taking sample.
(2) Sampling error cause due to deviation between sample mean and population mean while non sampling error causes due to deficiency and analysis of data
(3) A sampling error occurs only when a sample is selected but a non sampling error occurs in both the case in sample and census.
(4) Sapling error can be reduced by increasing sample size but there is no role of sample size in case of non sampling error.
(5) Sampling error is random type while non sampling error may be random or non random.

(2) What types of errors do you feel are most critical?

Answer:

(In this part you did not specified are you taking about sampling error and non sampling error or some other king of error.

I'm giving you hint for the sampling error and non sampling error):

• Non-sampling errors can be much higher than sampling errors. and are much more serious.Unlike sampling errors, the likely size of non-sampling errors cannot be estimated from a single sample because it is extremely difficult to assess their likely size.

in non-sampling errors we often distort estimates by pulling them in one direction(called biased).

Hence we can conclude that Non-sampling error is more serious/critical than that of sampling error.

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