Confused by Quartile Calculation? Get Help Here!

AI Thread Summary
The discussion focuses on calculating quartiles from a given data set. The user correctly identifies Q1 and Q2 as 15 and 16 but struggles with determining the upper quartile, mistakenly calculating it as 17 instead of the correct value of 16.5. Another participant clarifies that the upper quartile is determined by averaging the fifth and sixth items in the ordered data set, which are 17 and 16. This explanation helps resolve the confusion regarding the quartile calculation. Understanding the method for finding quartiles is essential for accurate statistical analysis.
ojsimon
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Normally this is a very easy task, but i just can't get this one right.

the data set is 14
14
14
15
15
15
15
15
15
16
16
16
16
16
16
17
17
17
18
25

And i get Q1 and Q2 right at 15 and 16, but i keep getting the upper quartile as 17, when it is meant to be 16.5. Can anyone help me as to how to get this answer?

Thanks
 
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You have 20 items. The upper quartile is between the fifth and sixth item counting from the top. These are 17 and 16 respectively.
 
I was reading a Bachelor thesis on Peano Arithmetic (PA). PA has the following axioms (not including the induction schema): $$\begin{align} & (A1) ~~~~ \forall x \neg (x + 1 = 0) \nonumber \\ & (A2) ~~~~ \forall xy (x + 1 =y + 1 \to x = y) \nonumber \\ & (A3) ~~~~ \forall x (x + 0 = x) \nonumber \\ & (A4) ~~~~ \forall xy (x + (y +1) = (x + y ) + 1) \nonumber \\ & (A5) ~~~~ \forall x (x \cdot 0 = 0) \nonumber \\ & (A6) ~~~~ \forall xy (x \cdot (y + 1) = (x \cdot y) + x) \nonumber...
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