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A) Given the replicate chloride determinations (ppm): 35.8, 36.4, 36.1, 36.0, 36.7. Compute the mean, Variance and sample standard deviation (9 marks) b) A burette is calibrated and the readings are n

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QUESTION TWO

a) Given the replicate chloride determinations (ppm): 35.8, 36.4, 36.1, 36.0, 36.7. Compute the mean, Variance and sample standard deviation (9 marks)

Given data points (xix_i): 35.8, 36.4, 36.1, 36.0, 36.7
Number of data points (nn) = 5

  1. Calculate the mean (xˉ\bar{x}).

    xˉ=∑xin=35.8+36.4+36.1+36.0+36.75=181.05=36.2\bar{x} = \frac{\sum x_i}{n} = \frac{35.8 + 36.4 + 36.1 + 36.0 + 36.7}{5} = \frac{181.0}{5} = 36.2

    The mean is 36.2 ppm\boxed{\text{36.2 ppm}}.

  2. Calculate the variance (s2s^2).

    First, calculate the sum of squared differences from the mean:

    ∑(xi−xˉ)2=(35.8−36.2)2+(36.4−36.2)2+(36.1−36.2)2+(36.0−36.2)2+(36.7−36.2)2\sum (x_i - \bar{x})^2 = (35.8 - 36.2)^2 + (36.4 - 36.2)^2 + (36.1 - 36.2)^2 + (36.0 - 36.2)^2 + (36.7 - 36.2)^2 =(−0.4)2+(0.2)2+(−0.1)2+(−0.2)2+(0.5)2= (-0.4)^2 + (0.2)^2 + (-0.1)^2 + (-0.2)^2 + (0.5)^2 =0.16+0.04+0.01+0.04+0.25=0.50= 0.16 + 0.04 + 0.01 + 0.04 + 0.25 = 0.50

    Now, calculate the sample variance:

    s2=∑(xi−xˉ)2n−1=0.505−1=0.504=0.125s^2 = \frac{\sum (x_i - \bar{x})^2}{n-1} = \frac{0.50}{5-1} = \frac{0.50}{4} = 0.125

    The variance is 0.125 ppm2\boxed{\text{0.125 ppm}^2}.

  3. Calculate the sample standard deviation (ss).

    s=s2=0.125≈0.35355s = \sqrt{s^2} = \sqrt{0.125} \approx 0.35355

    The sample standard deviation is 0.354 ppm\boxed{\text{0.354 ppm}}.

    b) A burette is calibrated and the readings are normally distributed with standard deviation σ=0.020 ml\sigma = 0.020 \text{ ml}. For a titration whose average volume V=24.86 mlV = 24.86 \text{ ml} for 3 titrations, give a 95% confidence interval for the true of the average volume (6 marks)

    Given:
    Population standard deviation (σ\sigma) = 0.020 ml0.020 \text{ ml}
    Sample mean (xˉ\bar{x}) = 24.86 ml24.86 \text{ ml}
    Number of titrations (nn) = 3
    Confidence level = 95%

  4. Determine the critical Z-value for a 95% confidence interval.

    For a 95% confidence level, the Z-value is 1.96.

  5. Calculate the margin of error (ME).

    ME=Z×σn=1.96×0.020 ml3ME = Z \times \frac{\sigma}{\sqrt{n}} = 1.96 \times \frac{0.020 \text{ ml}}{\sqrt{3}} ME=1.96×0.020 ml1.732ME = 1.96 \times \frac{0.020 \text{ ml}}{1.732} ME=1.96×0.011547 ml≈0.02263 mlME = 1.96 \times 0.011547 \text{ ml} \approx 0.02263 \text{ ml}
  6. Calculate the 95% confidence interval.

    Confidence Interval=xˉ±ME\text{Confidence Interval} = \bar{x} \pm ME Confidence Interval=24.86 ml±0.02263 ml\text{Confidence Interval} = 24.86 \text{ ml} \pm 0.02263 \text{ ml} Lower bound=24.86−0.02263=24.83737 ml\text{Lower bound} = 24.86 - 0.02263 = 24.83737 \text{ ml} Upper bound=24.86+0.02263=24.88263 ml\text{Upper bound} = 24.86 + 0.02263 = 24.88263 \text{ ml}

    The 95% confidence interval for the true average volume is 24.837 ml to 24.883 ml\boxed{\text{24.837 ml to 24.883 ml}}.

    c) Formic acid is a weak acid with a dissociation constant Ka of 1.8×10−41.8 \times 10^{-4}. The Ka relates the concentration of H+^+ ions and amount of acid dissolved, M by the equation: Ka=[H+]2M−[H+]K_a = \frac{[H^+]^2}{M-[H^+]}. Given that there is 0.1 moles of formic acid dissolved, calculate the pH of the solution. (pH = -log[H+^+]) (5 marks)

    Given:
    Ka=1.8×10−4K_a = 1.8 \times 10^{-4}
    Initial concentration of formic acid (MM) = 0.1 M0.1 \text{ M} (assuming 1 L solution for 0.1 moles)
    Equation: Ka=[H+]2M−[H+]K_a = \frac{[H^+]^2}{M-[H^+]}

  7. Substitute the given values into the KaK_a expression.

    1.8×10−4=[H+]20.1−[H+]1.8 \times 10^{-4} = \frac{[H^+]^2}{0.1 - [H^+]}
  8. Rearrange the equation into a quadratic form.

    Let x=[H+]x = [H^+].

    1.8×10−4(0.1−x)=x21.8 \times 10^{-4} (0.1 - x) = x^2 1.8×10−5−1.8×10−4x=x21.8 \times 10^{-5} - 1.8 \times 10^{-4} x = x^2 x2+1.8×10−4x−1.8×10−5=0x^2 + 1.8 \times 10^{-4} x - 1.8 \times 10^{-5} = 0
  9. Solve the quadratic equation for xx (which is [H+][H^+]) using the quadratic formula x=−b±b2−4ac2ax = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}.

    Here, a=1a=1, b=1.8×10−4b=1.8 \times 10^{-4}, c=−1.8×10−5c=-1.8 \times 10^{-5}.

    x=−(1.8×10−4)±(1.8×10−4)2−4(1)(−1.8×10−5)2(1)x = \frac{-(1.8 \times 10^{-4}) \pm \sqrt{(1.8 \times 10^{-4})^2 - 4(1)(-1.8 \times 10^{-5})}}{2(1)} x=−1.8×10−4±3.24×10−8+7.2×10−52x = \frac{-1.8 \times 10^{-4} \pm \sqrt{3.24 \times 10^{-8} + 7.2 \times 10^{-5}}}{2} x=−1.8×10−4±0.00007203242x = \frac{-1.8 \times 10^{-4} \pm \sqrt{0.0000720324}}{2} x=−1.8×10−4±0.0084872x = \frac{-1.8 \times 10^{-4} \pm 0.008487}{2}

    Since [H+][H^+] cannot be negative, we take the positive root:

    x=[H+]=−1.8×10−4+0.0084872=0.0083072=0.0041535 Mx = [H^+] = \frac{-1.8 \times 10^{-4} + 0.008487}{2} = \frac{0.008307}{2} = 0.0041535 \text{ M}
  10. Calculate the pH of the solution.

    pH=−log⁡[H+]=−log⁡(0.0041535)\text{pH} = -\log[H^+] = -\log(0.0041535) pH≈2.381\text{pH} \approx 2.381

    The pH of the solution is 2.38\boxed{\text{2.38}}.

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