The two samples must be independent and the data must be at least ordinal. Under those conditions the Mann-Whitney U test can be used.
the means does not change
Ideal range means the normal operating conditions, and range of tolerance means the extreme varied conditions in which operation can continue, without failure
The distribution of sample means will not be normal if the number of samples does not reach 30.
No, it is not.
Most probably not. But it should be close to the population mean if various conditions are met: For example, the population should consist of independent, [nearly] identically distributed variables, the sample is not systematically biased (it does not have to be completely random).
Difference between sample means
sample is a noun. sampling is a verb. Statistically speaking, a sample is where we gather and examine part of a population. A sampling is where we take the means of samples in order to gather info about the whole...
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the means does not change
Qualitative analysis means just to detect the presence of a substance in the sample while quantitative analysis is the determination of that substance i.e., in which amount it is present in the sample.
Ideal range means the normal operating conditions, and range of tolerance means the extreme varied conditions in which operation can continue, without failure
Ideal range means the normal operating conditions, and range of tolerance means the extreme varied conditions in which operation can continue, without failure
Ideal range means the normal operating conditions, and range of tolerance means the extreme varied conditions in which operation can continue, without failure
The distribution of sample means will not be normal if the number of samples does not reach 30.
You are testing the difference between two means of independent sample and the population variance are not known. from those population you take two samples of two different size n1and n2. what degrees of freedom is appropriate to consider in this case
Trying
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