Examples of 'sample mean' in a sentence
Meaning of "sample mean"
Sample mean: a statistical concept that refers to the average value of a set of data, calculated by summing all the values and dividing by the number of values
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- Given a random sample mathbf x₁,…, mathbf x_N from an n-dimensional random variable mathbf X, a mean defined as
How to use "sample mean" in a sentence
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sample mean
The sample mean is the mean of a sample.
The sampling distribution of the sample mean.
The sample mean is sensitive to these problems.
Well how do we calculate the sample mean.
The sample mean was calculated using the formula.
The standard error of the sample mean.
The variance of the sample mean is going to be the variance.
So we assume that we only have the sample mean.
I plot the sample mean on here.
So each of these dots represent an incidence of a sample mean.
We get a sample mean that is way out here.
If the probability of obtaining a sample mean is greater.
That sample mean is a random variable.
So this is the sampling distribution of the sample mean.
An alternative to the sample mean is the sample median.
See also
The sample mean is the average for a sample.
Not exactly the same as your sample mean.
Calculate the sample mean x for each sample.
Find out how far it is from our sample mean.
Examples include the sample mean and sample variance.
And it does not apply just to taking the sample mean.
So you could view this is a sample mean or as a sample proportion.
This is the variance of our mean of our sample mean.
Denotes the sample mean x i.
It is a sample from the sampling distribution of the sample mean.
What is the sample mean.
Sample mean and sample variance and their numerical characteristics.
I have another sample mean.
The sample mean.
That is called the sampling distribution of the sample mean.
Maybe your sample mean is here and your population mean is here.
You had your sampling distribution of the sample mean.
Only the sample mean and the sample standard deviation are known.
Let us say we get some sample mean out here.
Skewness is a measure of the asymmetry of the data samples around the sample mean.
Where is the sample mean.
Well for the sample mean we do a very similar thing but for the sample.
Let us take the sampling distribution of the sample mean.
It measures how precisely the sample mean estimates the population mean.
Your estimate of the population mean is the sample mean.
The variability of the sample mean decreases as the sample size increases.
So let us think about the sampling distribution of the sample mean of x.
Which is really just the sample mean of this sample right over here.
And then your module is automatically calculating the sample mean.
But the sampling distribution of the sample mean is the most common one.
We hopefully now have a respectable working knowledge of the sampling distribution of the sample mean.
In statistical inference we take the sample mean as our estimate of m.
The sample mean is preferable for estimating the parameter of the Maxwell.
So this is my sample mean.
Joint distribution of sample mean and sample variance for sample from normal distribution.
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