two samples are independent if they are drawn from two different populations, and/ or the samples have no effect on each other.
eg: We want to estimate the difference between the mean salaries of all male and all female executives. We draw one sample from the population of male executives and another from the population of female executives. These two samples are independent because they come from different populations and the samples have no effect on each other
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In general the mean of a truly random sample is not dependent on the size of a sample. By inference, then, so is the variance and the standard deviation.
A biased sample is a Statistical Sample in which the sample is biased or have more samples of the things that is being influenced.
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
A sample is Unbiased if everyone in the sample have an equal chance of being selected
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
there is a matching of the first sample data drawn and a corresponding data value in the second sample data.
It is an adjective which means mutually dependent- dependent upon one another.
Data gathering in two different samples such that there is matching of the first sample data drawn and a corresponding data value in the second sample.
to cover up
That is the definition of a statistic
the space used to show a sample promblem.
Random Sample