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A) Outline 4 characteristics of the Normal distribution and b) Calculate the number of recruits with an IQ between 100 and 115.

Mathematics

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b) (i) Outline 4 characteristics of the Normal distribution.

  • The normal distribution is bell-shaped and symmetrical about its mean.
  • The mean, median, and mode are all equal and located at the center of the distribution.
  • The total area under the curve is equal to 1 (or 100%).
  • The tails of the curve are asymptotic, meaning they extend indefinitely in both directions, approaching the horizontal axis but never touching it.

b) (ii) Calculate the number of recruits with an IQ between 100 and 115.

  1. Identify the given parameters.

    Total number of recruits (NN) = 20,000
    Mean (μ\mu) = 108
    Variance (σ2\sigma^2) = 49
    Standard deviation (σ\sigma) = 49=7\sqrt{49} = 7

  2. Standardize the IQ values using the z-score formula.

    The z-score formula is Z=X−μσZ = \frac{X - \mu}{\sigma}.

    For X1=100X_1 = 100:

    Z1=100−1087=−87≈−1.14Z_1 = \frac{100 - 108}{7} = \frac{-8}{7} \approx -1.14

    For X2=115X_2 = 115:

    Z2=115−1087=77=1.00Z_2 = \frac{115 - 108}{7} = \frac{7}{7} = 1.00
  3. Find the probability P(100<X<115)P(100 < X < 115) using the z-scores.

    This is equivalent to finding P(−1.14<Z<1.00)P(-1.14 < Z < 1.00).
    Using a standard normal distribution (Z-table):
    P(Z<1.00)=0.8413P(Z < 1.00) = 0.8413
    P(Z<−1.14)=0.1271P(Z < -1.14) = 0.1271

    The probability is:

    P(−1.14<Z<1.00)=P(Z<1.00)−P(Z<−1.14)P(-1.14 < Z < 1.00) = P(Z < 1.00) - P(Z < -1.14) P(−1.14<Z<1.00)=0.8413−0.1271=0.7142P(-1.14 < Z < 1.00) = 0.8413 - 0.1271 = 0.7142
  4. Calculate the number of recruits.

    Number of recruits = Total recruits ×\times Probability

    Number of recruits=20,000×0.7142\text{Number of recruits} = 20,000 \times 0.7142 Number of recruits=14284\text{Number of recruits} = 14284

    The number of recruits with an IQ between 100 and 115 is 14284\boxed{14284}.

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