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:
12
96
9
38
25
Step-by-step explanation:
<h3>i.a+7 for a=5</h3>
5+7=12
<h3>ii.8(c+3) for c =9</h3>
8(9+3)
8(12)
96
<h3>iii.n+8 divided by 4 for n=28</h3>
=28+8 divided by 4
=36 divided by 4
=9
<h3>iv.6p+40 divided by 5 for p =5</h3>
=6×5+40 divided by 5
=30+40 divided by 5
=70 divided by 5
=38
<h3>v.3x+7 for x=6</h3>
=3×6+7
=18+7
=25
An=an-1-3
I hope this helps.
Apply the slope formula as follows:
5-4 1
m = --------- = ---------
7-(-3) 10
<span>The graph of temperature versus pressure is a straigh line rising to the right. It Using the value above, the equation is P = 2.5522T + 699. The temperature is directly proportional to pressure. The pressure of the gas 0C using the equation,
</span>P = 2.5522T + 699
P = 2.5522(0) + 699
P = 699