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30 October, 06:03

What percentage of people has an IQ score between 40 and 160 ? (b) What percentage of people has an IQ score less than 80 or greater than 120 ? (c) What percentage of people has an IQ score greater than 140 ? (a) nothing % (Type an integer or a decimal.)

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  1. 30 October, 08:23
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    a) P (40 < X < 160) = 0.997

    b) P (80 < X < 120) = 0.68

    c) P (X > 140) = 0.025

    Step-by-step explanation:

    Given:

    - Mean of the sample u = 100

    - Standard deviation of the sample s. d = 20

    Find:

    a) What percentage of people has an IQ score between 40 and 160 ?

    b) What percentage of people has an IQ score less than 80 or greater than 120 ?

    c) What percentage of people has an IQ score greater than 140 ?

    Solution:

    - Declaring a random variable X is the IQ score from a sample of students.

    Where, Random variable X follows a normal distribution as follows:

    X ~ N (100, 20)

    - We will use the 68-95-99.7 Empirical rule that states:

    P (u - s. d < X < u + s. d) = 0.68

    P (u - 2*s. d < X < u + 2*s. d) = 0.95

    P (u - 3*s. d < X < u + 3*s. d) = 0.997

    part a)

    -The P (40 < X < 160) is equivalent to P (u - 3*s. d < X < u + 3*s. d), as given by the Empirical rule stated above. The limits can be calculated to verify:

    u - 3*s. d = 100 - 3 * 20 = 40

    u + 3*s. d = 100 + 3 * 20 = 160

    -Hence, from empirical rule we have P (40 < X < 160) = 0.997

    part b)

    - The P (80 < X < 120) is equivalent to P (u - s. d < X < u + s. d), as given by the Empirical rule stated above. The limits can be calculated to verify:

    u - s. d = 100 - 20 = 80

    u + s. d = 100 + 20 = 120

    -Hence, from empirical rule we have P (80 < X < 120) = 0.68

    part c)

    - The P (X > 140) is can be calculated from P (u - 2*s. d < X < u + 2*s. d), as given by the Empirical rule stated above. The limits can be calculated to verify:

    u - s. d = 100 - 2*20 = 60

    u + s. d = 100 + 2*20 = 140

    - We know that the probability between the two limits is P (60 < X < 140) = 0.95. Also the remaining the probability is = 1 - 0.95 = 0.05. The rest of remaining probability is divided between two section of the bell curve.

    P (X < 60) = 0.025

    P (X > 140) = 0.025

    - We can verify this by summing up all the three probabilities:

    P (X < 60) + P (60 < X 140) = 1

    -Hence, P (X > 140) = 0.025

    -Hence, from empirical rule we have
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