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Assume that IQ is normally distributed, with mean 100 and standard deviation 15.

ID: 3172056 • Letter: A

Question

Assume that IQ is normally distributed, with mean 100 and standard deviation 15.

(a) What is the probability that a randomly selected persons IQ is over 120?

(b) Find the values of Q1, Q2, and Q3 for IQ.

(c) Find the values of lower = Q1 1.5(Q3 Q1) and upper = Q3 + 1.5(Q3 Q1) for IQ. Recall that these were cutos for outliers.
(d) Find the probability of an outlier for IQ for a singleperson based on your values for (c).
(e) If we randomly selected 10 people, what is theprobability their average IQ is over 105?

Explanation / Answer

a. P(X>120)=P[Z>(120-100)/15] [Substitute given values in Z score formula, Z=(X-mu)/sigma, where, X is raw score, mu is population mean, and sigma is population standard deviation]

=P(Z>1.33)

=1-0.9082

=0.0918 (ans)

b. Find Z score corresponding to area 0.25, 0.50, and 0.75 representating Q1 (25%) Q2 (50%) and Q3 (75%) respectively.

The Z scores are -0.68, 0.00, and 0.68 respectively. Substitute the values in following Z score formula to obtain the raw scores.

-0.68=(X1-100)/15, X1=89.8, Q1=89.8

0.00=(X2-100)/15, X2=100, Q2=100

0.68=(X3-100)/15, X3=110.2, Q3=110.2

c. Lower cutoff= Q1-1.5(Q3-Q1)=89.8-1.5(110.2-89.8)=59.2

Upper cutoff=Q3+1.5(Q3-Q1)=110.2+1.5(110.2-89.8)=140.8

d. Any value beyond the cutoff is called outlier.

P(X>140.8)=P[Z>(140.8-100)/15]

=P(Z>2.72)

=1-0.9967 [Look into Z table to find area corresponding to Z score, the Z table gives area under standard normal curve to the left of Z, therefore, subtract the area from 1]

=0.0033

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