Answer: c. sampling error
Step-by-step explanation:
- A population parameter is a number that is evaluated to describe the whole population . For example : Population mean , Population standard deviation etc.
- A sample statistic gives the estimate value of the population parameter. For example : Sample mean , sample proportion.
Since, the sample is a subset of population , so there are chances for unavoidable variation in sample mean from the population mean that varies from sample to sample .
This variation is known as sampling error.
∴ The difference between the value of the sample statistic and the value of the corresponding population parameter is called the sampling error .
Hence,the correct answer is c. sampling error .
Answer:
12
Step-by-step explanation:
Given :
Male Female Total
Registered 60
Non registered 40
Total 20 80
Solution :
N= 100
Formula of expected frequency = 
= expected frequency for the ith row/jth columm.
= total in the ith row
= total in the jth column
N = table grand total.
So, using formula 
![E_{22]=\frac{80 \times 40}{100}](https://tex.z-dn.net/?f=E_%7B22%5D%3D%5Cfrac%7B80%20%5Ctimes%2040%7D%7B100%7D)
Expected frequency table
Male Female Total
Registered 12 48 60
Non registered 8 32 40
Total 20 80
So, the expected frequency for males who are registered voters are
Answer:
Technically, one (they equal the same thing) but 2 in this case.
Step-by-step explanation:
6 + 6 + 4
6 + 4 + 6
Shirley/Tracey has to stay at least 10 days for the M and N to cost less
One polynomial identity that crops up often in various areas is the difference of squares identity:
A2-b2=(a-b) (a+b)
We meet this in the context of rationalising denominators.
