Examples of 'sample means' in a sentence
Meaning of "sample means"
sample means: In statistics, this phrase refers to the average value calculated from a subset of data points within a larger population, often used to estimate overall characteristics of the population
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- plural of sample mean
How to use "sample means" in a sentence
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sample means
A smaller sample means too many variables.
This is the mean of our sample means.
Sample means any quantity of the test or reference substance.
The distribution of the sample means is illustrated below.
So let us say we are looking at sample means.
Test sample means any formulation or mixture of test compounds.
Let us say we get the following sample means.
Most sample means also exceeded the test substrate means.
But z is equal to the difference of our sample means.
Theoretical sample means that the selection of participants is guided by the emergent analysis.
Red lines indicate the group sample means.
This histogram of sample means includes a superimposed normal curve to illustrate its normality.
This is the variance of the differences of the sample means.
The distribution of sample means is normal irrespective of the distribution of the true population.
The greater the difference between the sample means.
See also
Official sample means a sample taken by the competent authority to test for a zoonotic agent.
So let us talk about this idea of this distribution of sample means.
Using a larger sample means it takes longer for the fixative to reach the deeper tissue.
You will get a normal distribution in your distribution of sample means.
These other likely sample means all suggest different values for the population mean.
Is based on the construction of confidence intervals around sample means or proportions.
Blood sample means whole blood, serum or plasma.
Tree for two the standard deviation of the distribution of sample means.
Clearly, the distribution of sample means appears to be normal.
Now we will investigate the shape of the sampling distribution of sample means.
When will the distribution of sample means be approximately normal?
And the first probability histogram will encounter is this distribution of sample means.
In addition, the variation of the sample means decreases as the sample size increases.
We have seen that sample size plays a role in the distribution of the sample means.
The significance of differences between sample means was determined using the Student 's t test.
The fluid sampled can be less than the total capacity of the sample means.
Fortunately, I can create a plot of sample means without collecting many different random samples!
So I am plotting the actual frequency of the sample means.
Less fluctuation in those sample means . So then, if I plotted all my sample means.
It 's one standard deviation in the distribution of sample means.
The distribution of sample means based on samples of size n=20 is shown below.
A comparison is then made between the largest and smallest sample means within the largest range.
Sample means and longterm equilibrium rates of unemployment ( % points ) money wage inflation.
So I am plotting the actual frequency of the sample means I get for each sample.
The Student 's t-test was used to determine the significance of differences between sample means.
A value of 1 in Table 4 indicates that the two sample means differ by more than omega.
This sample means 16 blocks are transferred and 3 blocks are completed Now block 4 is in progress.
If many samples are drawn, we would have many sample means.
Can these two sample means be considered equivalent with a 95 % confidence level?
What is the standard deviation of the distribution of sample means with a sample size of 9?
A smaller sample means too many variables . I need 15.
And the first one we will, we will deal with is that distribution of sample means.
What is the mean of the distribution of sample means for samples of size 64?
Third, compute the SS difference within each sample using their own sample means.
Where ; = Average of the sample means.
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