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In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable.
A simple example:
The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.
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What is the meaning of upper class boundary in statistics?
weh? di nga? xD
Statistics may be regarded as the study of the reduction of the data?
The answer is generally no. I note there is no hard and fast definition of the field of statistics. The definition of the field or discipline of statistics is not to reduce the number of values in the set of collected data. An objective of statistics is to characterize or add meaning to the collected data, through calculated values of the data. In this sense, statistics summarizes the data.
What is the meaning of median class in statistics?
The median class, is all of them added together and divided by the amount of classes.
Is it never safe to take published statistics at their face value without knowing their meaning and limitation?
Never? Avoid thinking in absolutes. It is much better to understand published statistics but impossible to say "never safe to ...".
Is it never safe to take published statistics at their face value without knowing their meaning and limitations?
Never? Avoid thinking in absolutes. It is much better to understand published statistics but impossible to say "never safe to ...".
