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Prove that XZ bisects angle WZY given that W, X, Y, and Z are points on a circle and WX = YX. Calculate the standard deviation for the dataset 2, 7, 5, 6, 9.

Mathematics

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: Geometry Proof

  1. Understand the given information.

    We are given that points W, X, Y, and Z lie on a circle. We are also given that the chord WX is equal in length to the chord YX (WX=YXWX = YX).

  2. Relate equal chords to equal arcs.

    In a circle, equal chords subtend equal arcs. Since WX=YXWX = YX, the arc WX is equal to the arc YX.

    arc WX=arc YX\text{arc } WX = \text{arc } YX
  3. Relate equal arcs to angles subtended at the circumference.

    Angles subtended by equal arcs at any point on the remaining part of the circumference are equal.
    The angle ∠WZX\angle WZX is subtended by arc WX at point Z on the circumference.
    The angle ∠YZX\angle YZX is subtended by arc YX at point Z on the circumference.

  4. Conclude the equality of angles.

    Since arc WX = arc YX, it follows that the angles they subtend at Z are equal:

    ∠WZX=∠YZX\angle WZX = \angle YZX
  5. Define angle bisection.

    An angle is bisected if it is divided into two equal angles. Since ∠WZX\angle WZX and ∠YZX\angle YZX are the two parts of ∠WZY\angle WZY, and they are equal, the line segment XZ bisects ∠WZY\angle WZY.

    Therefore, XZ bisects angle WZY.

    : Standard Deviation

  6. List the data and find the number of data points (NN).

    The data set is x={2,7,5,6,9}x = \{2, 7, 5, 6, 9\}.
    The number of data points is N=5N = 5.

  7. Calculate the mean (μ\mu) of the data.

    The mean is the sum of all data points divided by the number of data points.

    μ=∑xiN=2+7+5+6+95=295=5.8\mu = \frac{\sum x_i}{N} = \frac{2 + 7 + 5 + 6 + 9}{5} = \frac{29}{5} = 5.8
  8. Calculate the squared difference of each data point from the mean (xi−μ)2(x_i - \mu)^2.

    For x1=2x_1 = 2: (2−5.8)2=(−3.8)2=14.44(2 - 5.8)^2 = (-3.8)^2 = 14.44
    For x2=7x_2 = 7: (7−5.8)2=(1.2)2=1.44(7 - 5.8)^2 = (1.2)^2 = 1.44
    For x3=5x_3 = 5: (5−5.8)2=(−0.8)2=0.64(5 - 5.8)^2 = (-0.8)^2 = 0.64
    For x4=6x_4 = 6: (6−5.8)2=(0.2)2=0.04(6 - 5.8)^2 = (0.2)^2 = 0.04
    For x5=9x_5 = 9: (9−5.8)2=(3.2)2=10.24(9 - 5.8)^2 = (3.2)^2 = 10.24

  9. Sum the squared differences.

    ∑(xi−μ)2=14.44+1.44+0.64+0.04+10.24=26.8\sum (x_i - \mu)^2 = 14.44 + 1.44 + 0.64 + 0.04 + 10.24 = 26.8
  10. Calculate the population variance (σ2\sigma^2).

    The population variance is the sum of the squared differences divided by NN.

    σ2=∑(xi−μ)2N=26.85=5.36\sigma^2 = \frac{\sum (x_i - \mu)^2}{N} = \frac{26.8}{5} = 5.36
  11. Calculate the population standard deviation (σ\sigma).

    The standard deviation is the square root of the variance.

    σ=5.36≈2.315167\sigma = \sqrt{5.36} \approx 2.315167

    Rounding to two decimal places:

    σ≈2.32\sigma \approx 2.32

    The standard deviation of the data is 2.32\boxed{2.32}.

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