Consider a uniform distribution from \( a=5 \) to \( b=25 \). (a) Find the probability that \( x \) lies between 6 and 15 . (b) Find the probability that \( x \) lies between 11 and 24 . (c) Find the probability that \( x \) lies between 9 and 23 . (d) Find the probability that \( x \) lies between 7 and 16 . 5 Click the icon to see the definition of the uniform distribution. (a) The probability that \( x \) lies between 6 and 15 is 0.450 (Round to three decimal places as needed.) (b) The probability that \( x \) lies between 11 and 24 is 0.650 (Round to three decimal places as needed) (c) The probability that \( x \) lies between 9 andod 23 is (Round to three decimal places as needed.)
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To solve the uniform distribution probabilities, we first recall that the probability density function for a uniform distribution between \( a \) and \( b \) is given by: \[ P(X) = \frac{1}{b - a} \] For the given distribution from \( a = 5 \) to \( b = 25 \), we have \( b - a = 25 - 5 = 20 \). Now, let's compute each probability: (a) The probability that \( x \) lies between 6 and 15 is calculated as follows: \[ P(6 < X < 15) = \frac{15 - 6}{25 - 5} = \frac{9}{20} = 0.450 \] (b) The probability that \( x \) lies between 11 and 24 is: \[ P(11 < X < 24) = \frac{24 - 11}{25 - 5} = \frac{13}{20} = 0.650 \] (c) The probability that \( x \) lies between 9 and 23 is: \[ P(9 < X < 23) = \frac{23 - 9}{25 - 5} = \frac{14}{20} = 0.700 \] (d) The probability that \( x \) lies between 7 and 16 is: \[ P(7 < X < 16) = \frac{16 - 7}{25 - 5} = \frac{9}{20} = 0.450 \] So, rounding the answers to three decimal places as instructed: - (a) 0.450 - (b) 0.650 - (c) 0.700 - (d) 0.450