Distinguish between nonsampling error and sampling error. choose the correct answer below.
a. nonsampling error is the error that results because a sample is being used to estimate information about a population. sampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors.
b. nonsampling error is the error that results from the process of obtaining the data. sampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors.
c. nonsampling error is the error that results from randomness. sampling error is the error that results from using a sample to estimate information about a population.
d. nonsampling error is the error that results from undercoverage, nonresponse bias, response bias, or data-entry errors. sampling error is the error that results because a sample is being used to estimate information about a population.

The correct answer is D.

Non-sampling error is the error that results from under-coverage, non-response bias, response bias, or data-entry errors. Sampling error is the error that results because a sample is being used to estimate information about a population.

Explanation:

Sampling error is related to the variation between the true values of the sample and the population. If occurred, it is always random depending upon the sample chosen.

Non-sampling error can be random as well as non-random. Non-sampling error can occur irrespective of the sample chosen. It is related to the inappropriate analysis of the data.

pe = weightxheight = 2000x1000=2,000,000joules

the answer is the first electromagnet (a). this is because it has more coils around the ferromagnetic material. increasing the number of coils increases the surface area in which the metal interacts with the current in the coil. this enables more atoms in the metal to become aligned hence becoming more magnetized.