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Consider X follows uniform distribution with A =-5 and B=7. Calculate P(−2.5≤X≤2.5) 𝑃 ( − 2.5 ≤ 𝑋 ≤ 2.5 ) a. 0.56 b. 0.24 c. 0.42 d. 0.30

Question

Consider X follows uniform distribution with A = -5 and B = 7. Calculate P(−2.5≤X≤2.5)

P(2.5X2.5) P(-2.5 \leq X \leq 2.5)

a. 0.56

b. 0.24

c. 0.42

d. 0.30

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Solution

1. Break Down the Problem

We need to calculate the probability P(2.5X2.5) P(-2.5 \leq X \leq 2.5) for a uniform distribution defined by the interval [5,7][-5, 7].

2. Relevant Concepts

For a uniform distribution defined by A A and B B :

  • The probability density function (PDF) is given by: f(x)=1BAfor AxB f(x) = \frac{1}{B - A} \quad \text{for } A \leq x \leq B
  • The probability of X X falling within an interval [c,d][c, d] is given by: P(cXd)=(dc)f(x) P(c \leq X \leq d) = (d - c) \cdot f(x)

3. Analysis and Detail

In our case:

  • A=5 A = -5
  • B=7 B = 7
  • Calculating BA B - A : BA=7(5)=12 B - A = 7 - (-5) = 12
  • The PDF f(x) f(x) is: f(x)=112 f(x) = \frac{1}{12}
  • We want to find P(2.5X2.5) P(-2.5 \leq X \leq 2.5) :
    • Calculate the width of the interval: dc=2.5(2.5)=2.5+2.5=5 d - c = 2.5 - (-2.5) = 2.5 + 2.5 = 5
  • Now, we can find the probability: P(2.5X2.5)=(2.5(2.5))f(x)=5112=512 P(-2.5 \leq X \leq 2.5) = (2.5 - (-2.5)) \cdot f(x) = 5 \cdot \frac{1}{12} = \frac{5}{12}

4. Verify and Summarize

Converting 512 \frac{5}{12} to a decimal gives: 5120.4167 \frac{5}{12} \approx 0.4167

Final Answer

The closest answer choice is: c. 0.42

This problem has been solved

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