9.88 • 10°
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Ten to the power of zero
Answer:
The difference between the sample statistic and population parameter is called sampling error.
Step-by-step explanation:
We are given the following in the question:
- A sample is a part of population, it is a subset of population.
- A sample statistic describes the sample. It is a characteristic of sample and different from the population.
- A parameter describes the population. It is characteristic of a population.
- A sample may not be able to represent the whole population and this may lead to error.
- Thus, sampling error is the difference between the sample statistic and population parameter.
- It arises when the sample is not able to describe the population.
The difference between the sample statistic and population parameter is called sampling error.
Answer:
2 1/3
Step-by-step explanation:
4 + ( -1 2/3)
= 4 - 1 2/3
= 4 - 5/3
= 12/2 - 5/3
= 7/3
= 2 1/3
Answer:
Rise = 15.
Run = 1.
Step-by-step explanation:
Hope this helps!
=)
Answer:
it would be 10
Step-by-step explanation: