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What Are the Key Differences Between Range, Variance, and Standard Deviation for Year 1 Students?

Key Differences Between Range, Variance, and Standard Deviation

  1. Range:

    • What It Is: The range shows how spread out the numbers are by looking at the biggest and smallest numbers in a dataset.
    • How to Calculate It:
      • Range = Maximum value - Minimum value
    • Example: For the numbers {3, 7, 2}, the range is:
      • Range = 7 - 2 = 5.
  2. Variance:

    • What It Is: Variance tells us how much the numbers in a dataset differ from the average (mean).
    • How to Calculate It:
      • Variance = (The average of the square differences from the mean)
    • Example: For the numbers {2, 4, 6}:
      • First, find the mean: Mean = 4.
      • Then, calculate variance:
        • Variance = ( (2 - 4)² + (4 - 4)² + (6 - 4)² ) ÷ 3
        • Variance = (4 + 0 + 4) ÷ 3 = 8 ÷ 3 ≈ 2.67.
  3. Standard Deviation:

    • What It Is: Standard deviation is like variance but gives us a better idea of how spread out the numbers are in the same size as the original numbers.
    • How to Calculate It:
      • Standard Deviation = The square root of the variance.
    • Example: From the previous variance example:
      • Standard Deviation = √2.67 ≈ 1.63.

Each of these measures helps us understand how much the numbers in our data can vary.

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What Are the Key Differences Between Range, Variance, and Standard Deviation for Year 1 Students?

Key Differences Between Range, Variance, and Standard Deviation

  1. Range:

    • What It Is: The range shows how spread out the numbers are by looking at the biggest and smallest numbers in a dataset.
    • How to Calculate It:
      • Range = Maximum value - Minimum value
    • Example: For the numbers {3, 7, 2}, the range is:
      • Range = 7 - 2 = 5.
  2. Variance:

    • What It Is: Variance tells us how much the numbers in a dataset differ from the average (mean).
    • How to Calculate It:
      • Variance = (The average of the square differences from the mean)
    • Example: For the numbers {2, 4, 6}:
      • First, find the mean: Mean = 4.
      • Then, calculate variance:
        • Variance = ( (2 - 4)² + (4 - 4)² + (6 - 4)² ) ÷ 3
        • Variance = (4 + 0 + 4) ÷ 3 = 8 ÷ 3 ≈ 2.67.
  3. Standard Deviation:

    • What It Is: Standard deviation is like variance but gives us a better idea of how spread out the numbers are in the same size as the original numbers.
    • How to Calculate It:
      • Standard Deviation = The square root of the variance.
    • Example: From the previous variance example:
      • Standard Deviation = √2.67 ≈ 1.63.

Each of these measures helps us understand how much the numbers in our data can vary.

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