Connect with experts and get insightful answers to your questions on IDNLearn.com. Get the information you need quickly and accurately with our reliable and thorough Q&A platform.
Sagot :
Let's solve the problem step by step.
### Step 1: Determine the formula for [tex]\( P(x \leq x_0) \)[/tex]
Given the exponential probability density function:
[tex]\[ f(x) = \frac{1}{5} e^{-\frac{x}{5}} \quad \text{for } x \geq 0 \][/tex]
To find the cumulative distribution function (CDF), [tex]\( F(x) \)[/tex], which gives us [tex]\( P(x \leq x_0) \)[/tex], we integrate the probability density function from 0 to [tex]\( x_0 \)[/tex]:
[tex]\[ F(x_0) = \int_0^{x_0} \frac{1}{5} e^{-\frac{x}{5}} \, dx \][/tex]
Solving this integral, we get:
[tex]\[ F(x_0) = \left[ -e^{-\frac{x}{5}} \right]_0^{x_0} = \left(1 - e^{-\frac{x_0}{5}}\right) \][/tex]
Therefore, the correct formula for [tex]\( P(x \leq x_0) \)[/tex] is:
[tex]\[ P(x \leq x_0) = 1 - e^{-\frac{x_0}{5}} \][/tex]
Thus, the correct answer is option 2.
### Step 2: Find [tex]\( P(x \leq 1) \)[/tex]
Using the formula from Step 1, for [tex]\( x_0 = 1 \)[/tex]:
[tex]\[ P(x \leq 1) = 1 - e^{-\frac{1}{5}} \][/tex]
Given the final result, this value is:
[tex]\[ P(x \leq 1) = 0.1813 \, \text{ (to 4 decimal places)} \][/tex]
### Step 3: Find [tex]\( P(x \geq 3) \)[/tex]
To find [tex]\( P(x \geq 3) \)[/tex], we can use the complementary rule [tex]\( P(x \geq x_0) = 1 - P(x \leq x_0) \)[/tex].
Using the formula from Step 1, for [tex]\( x_0 = 3 \)[/tex]:
[tex]\[ P(x \leq 3) = 1 - e^{-\frac{3}{5}} \][/tex]
Therefore:
[tex]\[ P(x \geq 3) = 1 - P(x \leq 3) = e^{-\frac{3}{5}} \][/tex]
Given the final result, this value is:
[tex]\[ P(x \geq 3) = 0.5488 \, \text{ (to 4 decimal places)} \][/tex]
### Step 4: Find [tex]\( P(x \leq 5) \)[/tex]
Using the formula from Step 1, for [tex]\( x_0 = 5 \)[/tex]:
[tex]\[ P(x \leq 5) = 1 - e^{-\frac{5}{5}} = 1 - e^{-1} \][/tex]
Given the final result, this value is:
[tex]\[ P(x \leq 5) = 0.6321 \, \text{ (to 4 decimal places)} \][/tex]
### Step 5: Find [tex]\( P(1 \leq x \leq 5) \)[/tex]
This can be found using the difference of two CDFs:
[tex]\[ P(1 \leq x \leq 5) = P(x \leq 5) - P(x \leq 1) \][/tex]
From the steps above:
[tex]\[ P(x \leq 5) = 0.6321 \][/tex]
[tex]\[ P(x \leq 1) = 0.1813 \][/tex]
Therefore:
[tex]\[ P(1 \leq x \leq 5) = 0.6321 - 0.1813 \][/tex]
Given the final result, this value is:
[tex]\[ P(1 \leq x \leq 5) = 0.4509 \, \text{ (to 4 decimal places)} \][/tex]
### Summary
- The formula for [tex]\( P(x \leq x_0) \)[/tex] is [tex]\( 1 - e^{-\frac{x_0}{5}} \)[/tex]
- [tex]\( P(x \leq 1) \)[/tex] is 0.1813
- [tex]\( P(x \geq 3) \)[/tex] is 0.5488
- [tex]\( P(x \leq 5) \)[/tex] is 0.6321
- [tex]\( P(1 \leq x \leq 5) \)[/tex] is 0.4509
### Step 1: Determine the formula for [tex]\( P(x \leq x_0) \)[/tex]
Given the exponential probability density function:
[tex]\[ f(x) = \frac{1}{5} e^{-\frac{x}{5}} \quad \text{for } x \geq 0 \][/tex]
To find the cumulative distribution function (CDF), [tex]\( F(x) \)[/tex], which gives us [tex]\( P(x \leq x_0) \)[/tex], we integrate the probability density function from 0 to [tex]\( x_0 \)[/tex]:
[tex]\[ F(x_0) = \int_0^{x_0} \frac{1}{5} e^{-\frac{x}{5}} \, dx \][/tex]
Solving this integral, we get:
[tex]\[ F(x_0) = \left[ -e^{-\frac{x}{5}} \right]_0^{x_0} = \left(1 - e^{-\frac{x_0}{5}}\right) \][/tex]
Therefore, the correct formula for [tex]\( P(x \leq x_0) \)[/tex] is:
[tex]\[ P(x \leq x_0) = 1 - e^{-\frac{x_0}{5}} \][/tex]
Thus, the correct answer is option 2.
### Step 2: Find [tex]\( P(x \leq 1) \)[/tex]
Using the formula from Step 1, for [tex]\( x_0 = 1 \)[/tex]:
[tex]\[ P(x \leq 1) = 1 - e^{-\frac{1}{5}} \][/tex]
Given the final result, this value is:
[tex]\[ P(x \leq 1) = 0.1813 \, \text{ (to 4 decimal places)} \][/tex]
### Step 3: Find [tex]\( P(x \geq 3) \)[/tex]
To find [tex]\( P(x \geq 3) \)[/tex], we can use the complementary rule [tex]\( P(x \geq x_0) = 1 - P(x \leq x_0) \)[/tex].
Using the formula from Step 1, for [tex]\( x_0 = 3 \)[/tex]:
[tex]\[ P(x \leq 3) = 1 - e^{-\frac{3}{5}} \][/tex]
Therefore:
[tex]\[ P(x \geq 3) = 1 - P(x \leq 3) = e^{-\frac{3}{5}} \][/tex]
Given the final result, this value is:
[tex]\[ P(x \geq 3) = 0.5488 \, \text{ (to 4 decimal places)} \][/tex]
### Step 4: Find [tex]\( P(x \leq 5) \)[/tex]
Using the formula from Step 1, for [tex]\( x_0 = 5 \)[/tex]:
[tex]\[ P(x \leq 5) = 1 - e^{-\frac{5}{5}} = 1 - e^{-1} \][/tex]
Given the final result, this value is:
[tex]\[ P(x \leq 5) = 0.6321 \, \text{ (to 4 decimal places)} \][/tex]
### Step 5: Find [tex]\( P(1 \leq x \leq 5) \)[/tex]
This can be found using the difference of two CDFs:
[tex]\[ P(1 \leq x \leq 5) = P(x \leq 5) - P(x \leq 1) \][/tex]
From the steps above:
[tex]\[ P(x \leq 5) = 0.6321 \][/tex]
[tex]\[ P(x \leq 1) = 0.1813 \][/tex]
Therefore:
[tex]\[ P(1 \leq x \leq 5) = 0.6321 - 0.1813 \][/tex]
Given the final result, this value is:
[tex]\[ P(1 \leq x \leq 5) = 0.4509 \, \text{ (to 4 decimal places)} \][/tex]
### Summary
- The formula for [tex]\( P(x \leq x_0) \)[/tex] is [tex]\( 1 - e^{-\frac{x_0}{5}} \)[/tex]
- [tex]\( P(x \leq 1) \)[/tex] is 0.1813
- [tex]\( P(x \geq 3) \)[/tex] is 0.5488
- [tex]\( P(x \leq 5) \)[/tex] is 0.6321
- [tex]\( P(1 \leq x \leq 5) \)[/tex] is 0.4509
We value your participation in this forum. Keep exploring, asking questions, and sharing your insights with the community. Together, we can find the best solutions. Your search for answers ends at IDNLearn.com. Thanks for visiting, and we look forward to helping you again soon.