Answer:
nevermind, i figured it out!
<10 = 92
<8 = 92
<9 = 88
<5 = 106
<11 = 106
<13 = 106
yes these are actually the answers, lol
Step-by-step explanation:
8/20 of a minute or 2/5 of a minute
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.
A and D
should be the answers.
