Which measures of center change when a value is deleted from these datasets?

Dataset 1: (0,1,0,1,3,2,0,1,0,1,0,2)

Dataset 2: (0,1,1,3,2,0,1,0,1,0,2)

User Icon for Bot GPT 4-o mini Bot GPT 4-o mini answered
2 hours ago

To analyze which measures of center change when a value is deleted from the datasets, we can consider the mean (average), median, and mode. Let's calculate these measures for both datasets.

Dataset 1: (0, 1, 0, 1, 3, 2, 0, 1, 0, 1, 0, 2)

  1. Mean:

    • Sum: \( 0 + 1 + 0 + 1 + 3 + 2 + 0 + 1 + 0 + 1 + 0 + 2 = 11 \)
    • Count: 12
    • Mean: \( \frac{11}{12} \approx 0.9167 \)
  2. Median:

    • Ordered: \( 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 3 \)
    • Middle values (6th and 7th): \( 1 \)
    • Median: \( 1 \)
  3. Mode:

    • Most frequent value: \( 0 \) and \( 1 \)
    • Mode: \( 0 \) and \( 1 \) (bimodal)

Dataset 2: (0, 1, 1, 3, 2, 0, 1, 0, 1, 0, 2)

  1. Mean:

    • Sum: \( 0 + 1 + 1 + 3 + 2 + 0 + 1 + 0 + 1 + 0 + 2 = 11 \)
    • Count: 11
    • Mean: \( \frac{11}{11} = 1 \)
  2. Median:

    • Ordered: \( 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 3 \)
    • Middle value: \( 1 \) (6th value)
    • Median: \( 1 \)
  3. Mode:

    • Most frequent value: \( 1 \)
    • Mode: \( 1 \)

Changes When One Value is Deleted

Let's analyze the effect of deleting one value from each dataset.

Deleting a 0 from Dataset 1:

  • New Dataset: (1, 1, 3, 2, 0, 1, 0, 1, 0, 2)
  • New Mean: \( \frac{11 - 0}{11} = \frac{11}{11} = 1 \)
  • New Median: Ordered: (0, 0, 0, 1, 1, 1, 1, 1, 2, 3) - Median is \( 1 \)
  • New Mode: Still \( 1 \) (but no longer \( 0 \))

Deleting a 1 from Dataset 2:

  • New Dataset: (0, 1, 3, 2, 0, 1, 0, 1, 0, 2)
  • New Mean: \( \frac{11 - 1}{10} = \frac{10}{10} = 1 \)
  • New Median: Ordered: (0, 0, 0, 0, 1, 1, 2, 3) - New Median: \( 1 \)
  • New Mode: \( 0 \) (but no longer \( 1 \))

Summary of Change:

  • Dataset 1:
    • Mean, median, and mode can change.
  • Dataset 2:
    • Mean and median remain the same (1), but the mode changes.

In conclusion, all measures of center can change with the deletion of a value, particularly when considering which specific values are removed and their frequency in the datasets.