Not this nah 😭 Solve for standard deviation during mixing

Mathematics

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Answer

σ=0.2179(1−M)\sigma = 0.2179 (1 - M)

M=0.2179−σ0.2179M = \frac{0.2179 - \sigma}{0.2179}

Step-by-step solution

5 steps
  1. Recall known values.

    From the previous calculation, the standard deviation at the start of mixing is σ0=0.2179\sigma_0 = 0.2179.
    For a perfectly mixed system, the standard deviation is σp=0\sigma_p = 0.

  2. Define the mixing index (MM) and its relationship to the standard deviation during mixing (σ\sigma).

    The mixing index (MM) is a dimensionless value that quantifies the degree of mixing, ranging from 0 (completely unmixed) to 1 (perfectly mixed). The standard deviation during mixing (σ\sigma) is the actual measured standard deviation of samples taken at a specific point in time during the mixing process. These are related by the formula:

    M=σ0−σσ0−σpM = \frac{\sigma_0 - \sigma}{\sigma_0 - \sigma_p}
  3. Substitute known values into the mixing index formula.

    Substitute σ0=0.2179\sigma_0 = 0.2179 and σp=0\sigma_p = 0 into the formula:

    M=0.2179−σ0.2179−0M = \frac{0.2179 - \sigma}{0.2179 - 0} M=0.2179−σ0.2179M = \frac{0.2179 - \sigma}{0.2179}
  4. Solve for the standard deviation during mixing (σ\sigma) in terms of the mixing index (MM).

    Rearrange the equation to isolate σ\sigma:

    0.2179M=0.2179−σ0.2179 M = 0.2179 - \sigma σ=0.2179−0.2179M\sigma = 0.2179 - 0.2179 M σ=0.2179(1−M)\sigma = 0.2179 (1 - M)
  5. Explain the dependency and state the answers.

    To obtain a specific numerical value for the standard deviation during mixing (σ\sigma), a value for the mixing index (MM) must be provided, or experimental data (e.g., sample concentrations during mixing) from which σ\sigma can be calculated. Without this additional information, σ\sigma can only be expressed in terms of MM. Similarly, to find a numerical value for MM, a value for σ\sigma is needed.

    The standard deviation during mixing is σ=0.2179(1−M)\boxed{\sigma = 0.2179 (1 - M)}.
    The mixing index is M=0.2179−σ0.2179\boxed{M = \frac{0.2179 - \sigma}{0.2179}}.

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