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:
use the formula
-14 = 6 + (5 - 1)d
-14 = 6 + 4d
-20 = 4d
d = -5
Answer:
No.
Step-by-step explanation: negative 0.833 is way closer to 0 than it is to 1. The closer the correlation coefficient is to one, the more likely it is correct
Answer:
240
Step-by-step explanation:
Since David has 60 fewer storybooks than Huiling, take the total number of storybooks, which is 460 and minus it by 60.
460-60=400
Now, there are 5 units, 5units=400
1unit=80
Since Jenny has 3 times as many storybooks as David, Jenny has 3 units, 3unit=80x3=240
Tip: Draw a model to help you visualise the question better.