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Outlier worksheet

Grades 9–10 · CCSS HSS.ID.A.3

Solve each problem and show your work. Round answers to 2 decimal places where needed.

  1. Problem 1.
    • Data set: 16, 16, 12, 14, 16, 11, 15, 16, 55, 13, 1
    • Quartile method: Linear interpolation (QUARTILE.INC)
    • Fence multiplier (k): 1.2
    • Extreme multiplier: 4

    Find: Outliers

  2. Problem 2.
    • Data set: 18, 17, 18, 20, 20, 10, 18, 18, 44, 16, 1
    • Quartile method: Median of halves (exclusive)
    • Fence multiplier (k): 1.4
    • Extreme multiplier: 3

    Find: Outliers

  3. Problem 3.
    • Data set: 12, 15, 14, 18, 16, 13, 17, 15, 44, 16, 1
    • Quartile method: Linear interpolation (QUARTILE.INC)
    • Fence multiplier (k): 0.9
    • Extreme multiplier: 4

    Find: Outliers

  4. Problem 4.
    • Data set: 12, 15, 14, 18, 16, 13, 17, 15, 44, 16, 1
    • Quartile method: Median of halves (exclusive)
    • Fence multiplier (k): 1.7
    • Extreme multiplier: 3

    Find: Outliers

  5. Problem 5.
    • Data set: 16, 12, 18, 12, 12, 14, 16, 16, 42, 18, 1
    • Quartile method: Linear interpolation (QUARTILE.INC)
    • Fence multiplier (k): 1.7
    • Extreme multiplier: 3

    Find: Outliers

  6. Problem 6.
    • Data set: 13, 12, 15, 22, 15, 14, 20, 12, 43, 11, 2
    • Quartile method: Median of halves (exclusive)
    • Fence multiplier (k): 1.8
    • Extreme multiplier: 3

    Find: Outlier

  7. Problem 7.
    • Data set: 11, 16, 13, 20, 13, 16, 20, 11, 40, 15, 1
    • Quartile method: Median of halves (exclusive)
    • Fence multiplier (k): 1.3
    • Extreme multiplier: 3

    Find: Outlier

  8. Problem 8.
    • Data set: 12, 15, 14, 18, 16, 13, 17, 15, 44, 16, 1
    • Quartile method: Linear interpolation (QUARTILE.INC)
    • Fence multiplier (k): 1.5
    • Extreme multiplier: 4

    Find: Outliers

  9. Problem 9.
    • Data set: 12, 15, 14, 18, 16, 13, 17, 15, 44, 16, 1
    • Quartile method: Linear interpolation (QUARTILE.INC)
    • Fence multiplier (k): 1.4
    • Extreme multiplier: 4

    Find: Outliers

  10. Problem 10.
    • Data set: 12, 15, 14, 18, 16, 13, 17, 15, 44, 16, 1
    • Quartile method: Median of halves (exclusive)
    • Fence multiplier (k): 1.5
    • Extreme multiplier: 3

    Find: Outliers

Answer key: Outlier worksheet

  1. 1. Outliers: 1, 55

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 11, 12, 13, …, 16, 55
    2. The median is the middle value, with half the data on each side

      median=15
    3. 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

      Q1=12+0.5×(13−12)=12.5
    4. 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

      Q3=16+0.5×(16−16)=16
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=16−12.5=3.5
    6. Step k = 1.2 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=12.5−1.2×3.5=8.3
    7. Step k = 1.2 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=16+1.2×3.5=20.2
    8. Step 4 IQRs out for the outer fences, which mark the extreme outliers

      12.5−4×3.5 = −1.5 and 16+4×3.5 = 30
    9. List every value below the lower fence or above the upper fence

      Outliers: 1, 55
  2. 2. Outliers: 1, 10, 44

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 10, 16, 17, …, 20, 44
    2. The median is the middle value, with half the data on each side

      median=18
    3. Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves

      Q1 = median of 1, 10, 16, 17, 18=16
    4. Q3, the upper quartile, is the middle of the upper half

      Q3 = median of 18, 18, 20, 20, 44=20
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=20−16=4
    6. Step k = 1.4 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=16−1.4×4=10.4
    7. Step k = 1.4 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=20+1.4×4=25.6
    8. Step 3 IQRs out for the outer fences, which mark the extreme outliers

      16−3×4 = 4 and 20+3×4 = 32
    9. List every value below the lower fence or above the upper fence

      Outliers: 1, 10, 44
  3. 3. Outliers: 1, 44

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 12, 13, 14, …, 18, 44
    2. The median is the middle value, with half the data on each side

      median=15
    3. 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

      Q1=13+0.5×(14−13)=13.5
    4. 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

      Q3=16+0.5×(17−16)=16.5
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=16.5−13.5=3
    6. Step k = 0.9 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=13.5−0.9×3=10.8
    7. Step k = 0.9 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=16.5+0.9×3=19.2
    8. Step 4 IQRs out for the outer fences, which mark the extreme outliers

      13.5−4×3 = 1.5 and 16.5+4×3 = 28.5
    9. List every value below the lower fence or above the upper fence

      Outliers: 1, 44
  4. 4. Outliers: 1, 44

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 12, 13, 14, …, 18, 44
    2. The median is the middle value, with half the data on each side

      median=15
    3. Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves

      Q1 = median of 1, 12, 13, 14, 15=13
    4. Q3, the upper quartile, is the middle of the upper half

      Q3 = median of 16, 16, 17, 18, 44=17
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=17−13=4
    6. Step k = 1.7 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=13−1.7×4=6.2
    7. Step k = 1.7 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=17+1.7×4=23.8
    8. Step 3 IQRs out for the outer fences, which mark the extreme outliers

      13−3×4 = 1 and 17+3×4 = 29
    9. List every value below the lower fence or above the upper fence

      Outliers: 1, 44
  5. 5. Outliers: 1, 42

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 12, 12, 12, …, 18, 42
    2. The median is the middle value, with half the data on each side

      median=16
    3. 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

      Q1=12+0.5×(12−12)=12
    4. 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

      Q3=16+0.5×(18−16)=17
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=17−12=5
    6. Step k = 1.7 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=12−1.7×5=3.5
    7. Step k = 1.7 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=17+1.7×5=25.5
    8. Step 3 IQRs out for the outer fences, which mark the extreme outliers

      12−3×5 = −3 and 17+3×5 = 32
    9. List every value below the lower fence or above the upper fence

      Outliers: 1, 42
  6. 6. Outlier: 43

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      2, 11, 12, 12, …, 22, 43
    2. The median is the middle value, with half the data on each side

      median=14
    3. Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves

      Q1 = median of 2, 11, 12, 12, 13=12
    4. Q3, the upper quartile, is the middle of the upper half

      Q3 = median of 15, 15, 20, 22, 43=20
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=20−12=8
    6. Step k = 1.8 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=12−1.8×8=−2.4
    7. Step k = 1.8 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=20+1.8×8=34.4
    8. Step 3 IQRs out for the outer fences, which mark the extreme outliers

      12−3×8 = −12 and 20+3×8 = 44
    9. List every value below the lower fence or above the upper fence

      Outliers: 43
  7. 7. Outlier: 40

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 11, 11, 13, …, 20, 40
    2. The median is the middle value, with half the data on each side

      median=15
    3. Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves

      Q1 = median of 1, 11, 11, 13, 13=11
    4. Q3, the upper quartile, is the middle of the upper half

      Q3 = median of 16, 16, 20, 20, 40=20
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=20−11=9
    6. Step k = 1.3 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=11−1.3×9=−0.7
    7. Step k = 1.3 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=20+1.3×9=31.7
    8. Step 3 IQRs out for the outer fences, which mark the extreme outliers

      11−3×9 = −16 and 20+3×9 = 47
    9. List every value below the lower fence or above the upper fence

      Outliers: 40
  8. 8. Outliers: 1, 44

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 12, 13, 14, …, 18, 44
    2. The median is the middle value, with half the data on each side

      median=15
    3. 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

      Q1=13+0.5×(14−13)=13.5
    4. 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

      Q3=16+0.5×(17−16)=16.5
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=16.5−13.5=3
    6. Step k = 1.5 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=13.5−1.5×3=9
    7. Step k = 1.5 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=16.5+1.5×3=21
    8. Step 4 IQRs out for the outer fences, which mark the extreme outliers

      13.5−4×3 = 1.5 and 16.5+4×3 = 28.5
    9. List every value below the lower fence or above the upper fence

      Outliers: 1, 44
  9. 9. Outliers: 1, 44

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 12, 13, 14, …, 18, 44
    2. The median is the middle value, with half the data on each side

      median=15
    3. 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

      Q1=13+0.5×(14−13)=13.5
    4. 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

      Q3=16+0.5×(17−16)=16.5
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=16.5−13.5=3
    6. Step k = 1.4 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=13.5−1.4×3=9.3
    7. Step k = 1.4 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=16.5+1.4×3=20.7
    8. Step 4 IQRs out for the outer fences, which mark the extreme outliers

      13.5−4×3 = 1.5 and 16.5+4×3 = 28.5
    9. List every value below the lower fence or above the upper fence

      Outliers: 1, 44
  10. 10. Outliers: 1, 44

    1. Sort the 11 values from smallest to largest, so the middle and quarter points are easy to find

      1, 12, 13, 14, …, 18, 44
    2. The median is the middle value, with half the data on each side

      median=15
    3. Q1, the lower quartile, is the middle of the lower half. The overall median is left out of both halves

      Q1 = median of 1, 12, 13, 14, 15=13
    4. Q3, the upper quartile, is the middle of the upper half

      Q3 = median of 16, 16, 17, 18, 44=17
    5. Subtract Q1 from Q3 to get the IQR, the spread of the middle half of your data

      IQR=17−13=4
    6. Step k = 1.5 IQRs below Q1 to set the lower fence; anything under it is unusually low

      lower fence=13−1.5×4=7
    7. Step k = 1.5 IQRs above Q3 to set the upper fence; anything over it is unusually high

      upper fence=17+1.5×4=23
    8. Step 3 IQRs out for the outer fences, which mark the extreme outliers

      13−3×4 = 1 and 17+3×4 = 29
    9. List every value below the lower fence or above the upper fence

      Outliers: 1, 44