Answer:
The correct answer is
b. random sampling error
Step-by-step explanation:
Sampling is a statistical method of selecting a predefined number of observations from a larger population to determine the characteristics of and to represent the larger population.
A sampling error is a type of error in statistics that is as a result of a difference between the calculated statistical values of a selected sample and that of the entire population. A sample of a population with an error does not properly represent the statistics of the population.
By the definition of sampling in statistics, sampling error can be eliminated by Increasing the size of the sample taken from the larger population, analogous central limit theorem.
Can you take a better picture and I will help?
The Aon Center is taller. You just need to look at the place values, like 5 and 10. Which is bigger? the ten of course.
