QUESTION IMAGE
Question
in the data set below, what are the lower quartile, the median, and the upper quartile?
10 15 19 19 19 33 42 42 55 56
lower quartile =
median =
upper quartile =
Step1: Order the data (already ordered)
The data set is: \(10, 15, 19, 19, 19, 33, 42, 42, 55, 56\) (n = 10, even number of observations).
Step2: Find the median (Q2)
For even n, median is the average of the \(\frac{n}{2}\)-th and \((\frac{n}{2}+1)\)-th values.
\(\frac{n}{2} = 5\), so the 5th value is \(19\), 6th value is \(33\).
Median \(= \frac{19 + 33}{2} = 26\)? Wait, no—wait, n = 10, positions are 1 to 10. Wait, no, correction: when n is even, median is average of \(\frac{n}{2}\) and \(\frac{n}{2}+1\) terms. Wait, n = 10, so \(\frac{10}{2} = 5\), so 5th and 6th terms. 5th term: 19 (index 5, 0-based or 1-based? Wait, 1-based: positions 1:10, 2:15, 3:19, 4:19, 5:19, 6:33, 7:42, 8:42, 9:55, 10:56. So 5th term is 19, 6th is 33. Median = (19 + 33)/2 = 26? Wait, no, wait—wait, the data set is 10 numbers. Wait, maybe I made a mistake. Wait, no, let's recheck:
Wait, the data is: 10, 15, 19, 19, 19, 33, 42, 42, 55, 56. So n = 10. The median (Q2) is the average of the 5th and 6th values (since 10/2 = 5, so 5th and 6th in 1-based). 5th value: 19, 6th: 33. So median = (19 + 33)/2 = 26? Wait, but wait, maybe the method for quartiles: when n is even, we split the data into lower half (first 5 values: 10,15,19,19,19) and upper half (last 5 values: 33,42,42,55,56).
Step3: Find Q1 (lower quartile)
Lower half: 10,15,19,19,19 (n1 = 5, odd). Q1 is the median of the lower half. For n1 = 5 (odd), median is the 3rd value (1-based: 3rd term). 3rd term: 19.
Step4: Find Q3 (upper quartile)
Upper half: 33,42,42,55,56 (n2 = 5, odd). Q3 is the median of the upper half. 3rd term: 42.
Wait, wait, maybe my initial median calculation was wrong. Wait, no—wait, the standard method for quartiles when n is even: split into lower half (first n/2 terms) and upper half (last n/2 terms). For n = 10, lower half: first 5 terms (10,15,19,19,19), upper half: last 5 terms (33,42,42,55,56). Then Q1 is median of lower half, Q3 is median of upper half, and median (Q2) is average of the two middle terms.
So lower half (n=5): median is the 3rd term (1-based: 3rd term is 19). So Q1 = 19.
Upper half (n=5): median is the 3rd term (33,42,42,55,56: 3rd term is 42). So Q3 = 42.
Median (Q2): average of 5th and 6th terms (19 and 33) → (19 + 33)/2 = 26? Wait, but wait, let's confirm with another method. Alternatively, using the formula for quartiles:
For a data set with n observations:
- Q1: value at position \(\frac{n + 1}{4}\) (if not integer, interpolate). But n = 10, so \(\frac{10 + 1}{4} = 2.75\). So Q1 is the 2nd term + 0.75(3rd term - 2nd term). 2nd term: 15, 3rd term: 19. So Q1 = 15 + 0.75(19 - 15) = 15 + 3 = 18? Wait, now I'm confused. There are different methods for quartiles (Tukey's method, Mendenhall and Sincich, etc.).
Wait, let's check the data set again: 10, 15, 19, 19, 19, 33, 42, 42, 55, 56.
Using Tukey's method (common in education):
- Median (Q2): for n even, average of n/2 and n/2 + 1 terms. n = 10, so 5th and 6th terms: 19 (5th) and 33 (6th). Median = (19 + 33)/2 = 26.
- Lower quartile (Q1): median of the lower half (values below Q2). The lower half is the first 5 terms: 10, 15, 19, 19, 19. Median of this (n=5, odd) is the 3rd term: 19.
- Upper quartile (Q3): median of the upper half (values above Q2). The upper half is the last 5 terms: 33, 42, 42, 55, 56. Median of this (n=5, odd) is the 3rd term: 42.
Ah, so that's the method. So Q1 = 19, median = 26, Q3 = 42? Wait, but wait, let's check with another approach. Wait, maybe the problem expects using the "median of the lower half" when n is even. Let's confirm:
Data set: 10,15,19,19,19,…
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lower quartile = \(\boldsymbol{19}\)
median = \(\boldsymbol{26}\)
upper quartile = \(\boldsymbol{42}\)