Answer:
Correct option:
"The distribution of the statistic in all possible samples of size <em>n</em> from a given population."
Step-by-step explanation:
The sampling distribution is a probability distribution of a sample statistic.
A sample statistic is a numerical value representing a characteristic of a sample. For example, the sample mean represents the mean value of the sample, the sample variance represent the variance of the sample. Both of these values are sample statistic.
A statistic is an unbiased estimator of the parameter value.
That is, the sample mean value can be used to estimate the value of population mean.
If various large samples are taken from a population and the sample statistic value is computed for each of these samples, then the probability distribution of theses sample statistic is known as the sampling distribution.
The mean of the sampling distribution is same as the population mean and the standard deviation of the sampling distribution is known as the standard error.
The correct option is:
"The distribution of the statistic in all possible samples of size <em>n</em> from a given population."
Answer:
Step-by-step explanation:
Given
Circle has radius 
Area of the sector is given by
if 
is one-sixth of area of circle then
If is one-fourth of area of circle then
5+4×(8-6) to the 2nd 9×2 to the 2nd equals 9×4 which then equals 36.
-1/5Answer:
Step-by-step explanation:
Answer:
The perimeter of the room is 60 feet.
Step-by-step explanation:
If the area of the room is 224 square feet, and one side is 14 feet, then the other side is 224/14 feet, or 16 feet.
This gives us the dimensions of the room, 14 x 16.
From this, we can calculate the perimeter, which would be 2(14+16), or 60.
Let me know if this helps!
