The difference between probability sampling and nonprobability sampling is that in nonprobability sampling: Group of answer choices the researcher is able to judge the reliability and validity of data collected by calculating the probability. sampling error is not known. the results can be generalized to a target population within a specified margin of error. each sampling unit in a defined target population has a known probability of being selected for the sample. observed differences in sample findings can be partially attributed to the existence of sampling errors.

sampling error is not known

Step-by-step explanation:

Probability sampling may be defined as the sampling technique where the researcher or the experimenter chooses the samples from the larger population group using such method that is based on probability theory.

While non probability sampling is the kind of sampling method which is not feasible or possible for random sampling. It is the opposite of the probability sampling method. Here, the odds of any individual to be selected for any sample cannot be calculated.

The difference between the two is that the sampling error is not known.

f(2x−x2)=−3x2+6x−1

step-by-step explanation:

set up the composite function and evaluate.

f(2x−x2)=−3x2+6x−1

17

step-by-step explanation: