QUESTION IMAGE
Question
find the 5 number summary for the data shown
31 33
34 49
53 54
55 56
64 71
72 83
89 92
96
5 number summary:
□, □, □, □, □
use the locator/percentile method described in your book, not your calculator.
Step1: List and sort the data
First, we list all the data points: 31, 33, 34, 49, 53, 54, 55, 56, 64, 71, 72, 83, 89, 92, 96. Then we sort them (they are already in order here). The number of data points \( n = 15 \).
Step2: Find the minimum
The minimum value is the smallest number in the dataset. Looking at the sorted data, the minimum is 31.
Step3: Find the first quartile (Q1)
The locator for Q1 is \( L_{25}=\frac{25}{100}(n + 1)=\frac{25}{100}(15 + 1)=\frac{25}{100}\times16 = 4 \). Since the locator is an integer, Q1 is the average of the 4th and 5th values? Wait, no, wait. Wait, the formula for the locator/percentile method: for a percentile \( P \), the locator \( L_P=\frac{P}{100}(n + 1) \). Wait, actually, some sources use \( L_P=\frac{P}{100}(n) \), but the problem says to use the method in the book. Let's check the standard locator method. Let's confirm the number of data points: let's count the numbers. The table has: first row 2, second 2, third 2, fourth 2, fifth 2, sixth 2, seventh 2, eighth 1. So total \( 2+2+2+2+2+2+2+1 = 15 \) data points. So \( n = 15 \).
For the minimum (0th percentile), \( L_0=\frac{0}{100}(15 + 1)=0 \), but the minimum is the first value, 31.
For the median (50th percentile), \( L_{50}=\frac{50}{100}(15 + 1)=\frac{1}{2}\times16 = 8 \). So the median is the 8th value. Let's list the positions: 1:31, 2:33, 3:34, 4:49, 5:53, 6:54, 7:55, 8:56. So median (Q2) is 56.
For Q1 (25th percentile), \( L_{25}=\frac{25}{100}(15 + 1)=4 \). So the 4th value? Wait, no, wait. Wait, the locator method: if \( L_P \) is an integer, then the percentile is the average of the \( L_P \)-th and \( (L_P + 1) \)-th values? Wait, no, maybe I mixed up. Wait, let's recall: the 5 - number summary is minimum, Q1, median, Q3, maximum.
Minimum: smallest value, which is 31.
Maximum: largest value, which is 96.
Median: for \( n = 15 \) (odd), the median is the \( \frac{n + 1}{2}=\frac{16}{2}=8 \)-th term. So 8th term: let's list the data in order:
1: 31
2: 33
3: 34
4: 49
5: 53
6: 54
7: 55
8: 56
9: 64
10: 71
11: 72
12: 83
13: 89
14: 92
15: 96
So median (Q2) is 56 (8th term).
Now Q1: the median of the lower half. The lower half is the first 7 terms (since \( n = 15 \), lower half is positions 1 - 7: 31, 33, 34, 49, 53, 54, 55. The median of these 7 terms is the 4th term (since \( \frac{7 + 1}{2}=4 \)). So 4th term of lower half: 49. Wait, but using the locator method: \( L_{25}=\frac{25}{100}(15 + 1)=4 \). So the 4th term? Wait, the 4th term is 49. Let's check.
Q3: the median of the upper half. The upper half is positions 9 - 15: 64, 71, 72, 83, 89, 92, 96. The median of these 7 terms is the 4th term ( \( \frac{7 + 1}{2}=4 \) ). The 4th term of upper half is 83. Using locator method: \( L_{75}=\frac{75}{100}(15 + 1)=12 \). The 12th term? Wait, 12th term is 83. Let's check:
Wait, maybe the locator formula is \( L_P=\frac{P}{100}(n) \). Let's try that. For \( n = 15 \):
Minimum: 31 (1st term)
Q1: \( L_{25}=\frac{25}{100}\times15 = 3.75 \). Since it's not an integer, we round up to 4. So the 4th term: 49.
Median: \( L_{50}=\frac{50}{100}\times15 = 7.5 \). Round up to 8. 8th term: 56.
Q3: \( L_{75}=\frac{75}{100}\times15 = 11.25 \). Round up to 12. 12th term: 83.
Maximum: 96 (15th term).
Let's verify:
Data sorted: [31, 33, 34, 49, 53, 54, 55, 56, 64, 71, 72, 83, 89, 92, 96]
n = 15.
Minimum: 31.
Q1: The value at the 25th percentile. The formula for percentile: \( P_k = \text{value at the } \lceil k(n - 1)/100
ceil \)-th position? Wait, no, different methods. But the problem says to use the locat…
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31, 49, 56, 83, 96