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Really, are you that stupid? It increases.

* * * * *

That adjective should have been used on the person who first answered the question. The range can increase but it can also REMAIN THE SAME! It will not decrease, though.

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Q: What happens to the range as the number of observations increases?
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What happens to the range as the domain increases and decreases?

The range may increase or decrease with the domain or it may remain the same.


What is the interdecile range in the set of numbers?

The first decile (D1) is a number such that one tenth of the observations are smaller and nine tenths are larger. The ninth decile (D9) is a number such that nine tenths of the observations are smaller and one tenth are larger. The interdecile range is D9 - D1


What happens when you multiply a positive number less than 1?

The number is still positive, but the range is positive infinity.


What is the interquartile range in math?

The interquartile range (IQR) is a measure of spread in statistics. The observations (data) are arranged in order of magnitude - usually smallest to largest.Suppose there are n observations. Then calculate (n+1)/4 and round it to m, say. For large n (>30) don't bother with the +1 Then find the values of the observations is positions m and 3m. [That last sentence would be so much simpler if this crap browser allowed superscripts but mth and 3mth is confusing!] The number in position m is called the "Lower Quartile" and a quarter of the observations are smaller than it is. The number in position 3m is called the "Upper Quartile" and a quarter of the observations are greater than it is. The difference between the two values (not m and 3m but the values of the observations in those positions) is the IQR.Since a quarter of the observations are smaller than the LQ and a quarter are larger than the UQ, the IQR contains the middle half of all observations.


Why is it important to carry out a large number of observations in experiments?

You are required to carry out large number of observations in experiments because during experiments errors are very common. So to minimize the error, you take a mean (average) of large number of observations so that you can get a more precise value.