Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
For Q1, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.25 = 3.5. That falls between value number 3 and number 4, so go 0.5 of the way from one to the other
For Q3, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.75 = 8.5. That falls between value number 8 and number 9, so go 0.5 of the way from one to the other
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.2 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.2 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 4 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
2. Outliers: 1, 10, 44
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves
Q3, the upper quartile, is the middle of the upper half
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.4 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.4 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 3 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
3. Outliers: 1, 44
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
For Q1, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.25 = 3.5. That falls between value number 3 and number 4, so go 0.5 of the way from one to the other
For Q3, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.75 = 8.5. That falls between value number 8 and number 9, so go 0.5 of the way from one to the other
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 0.9 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 0.9 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 4 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
4. Outliers: 1, 44
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves
Q3, the upper quartile, is the middle of the upper half
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.7 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.7 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 3 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
5. Outliers: 1, 42
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
For Q1, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.25 = 3.5. That falls between value number 3 and number 4, so go 0.5 of the way from one to the other
For Q3, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.75 = 8.5. That falls between value number 8 and number 9, so go 0.5 of the way from one to the other
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.7 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.7 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 3 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
6. Outlier: 43
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves
Q3, the upper quartile, is the middle of the upper half
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.8 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.8 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 3 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
7. Outlier: 40
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves
Q3, the upper quartile, is the middle of the upper half
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.3 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.3 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 3 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
8. Outliers: 1, 44
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
For Q1, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.25 = 3.5. That falls between value number 3 and number 4, so go 0.5 of the way from one to the other
For Q3, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.75 = 8.5. That falls between value number 8 and number 9, so go 0.5 of the way from one to the other
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.5 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.5 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 4 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
9. Outliers: 1, 44
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
For Q1, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.25 = 3.5. That falls between value number 3 and number 4, so go 0.5 of the way from one to the other
For Q3, find its position (rank) in the sorted list, r = 1 + (n − 1) × 0.75 = 8.5. That falls between value number 8 and number 9, so go 0.5 of the way from one to the other
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.4 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.4 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 4 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence
10. Outliers: 1, 44
Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find
The median is the middle value, with half the data on each side
Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves
Q3, the upper quartile, is the middle of the upper half
Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data
Step k = 1.5 IQRs below Q1 to set the lower fence; anything under it is unusually low
Step k = 1.5 IQRs above Q3 to set the upper fence; anything over it is unusually high
Step 3 IQRs out for the outer fences, which mark the extreme outliers
List every value below the lower fence or above the upper fence