Find the proportion X of individuals who can be expected to respond to a certain mail-order solicitation if X has the density function below. f(x) = 2(x + 10) 21 0, 0

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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16. Please answer the following question.
**Probability Density Function for Mail-Order Solicitation Response**

To determine the proportion \( X \) of individuals expected to respond to a mail-order solicitation, we analyze the given probability density function (PDF):

\[ 
f(x) = 
\begin{cases} 
\frac{2(x+10)}{21}, & 0 < x < 1 \\ 
0, & \text{elsewhere} 
\end{cases} 
\]

**Calculating the Proportion**

The problem requires finding the total probability that an individual will respond, which is the integral of the PDF over its defined range:

1. **Range of Integration**: The function is defined between 0 and 1.
2. **Integrate the PDF over the interval \(0 < x < 1\)**: 

   \[ \int_{0}^{1} \frac{2(x+10)}{21} \, dx \]

   Simplifying this integral will yield the total probability. 

**Solution**

The result of the integration will be the proportion of individuals expected to respond, which should be entered as an integer or a simplified fraction.

Consider this function to reflect the behavioral response of individuals based on mail-order solicitations, highlighting the importance of using probability density functions in market analysis.
Transcribed Image Text:**Probability Density Function for Mail-Order Solicitation Response** To determine the proportion \( X \) of individuals expected to respond to a mail-order solicitation, we analyze the given probability density function (PDF): \[ f(x) = \begin{cases} \frac{2(x+10)}{21}, & 0 < x < 1 \\ 0, & \text{elsewhere} \end{cases} \] **Calculating the Proportion** The problem requires finding the total probability that an individual will respond, which is the integral of the PDF over its defined range: 1. **Range of Integration**: The function is defined between 0 and 1. 2. **Integrate the PDF over the interval \(0 < x < 1\)**: \[ \int_{0}^{1} \frac{2(x+10)}{21} \, dx \] Simplifying this integral will yield the total probability. **Solution** The result of the integration will be the proportion of individuals expected to respond, which should be entered as an integer or a simplified fraction. Consider this function to reflect the behavioral response of individuals based on mail-order solicitations, highlighting the importance of using probability density functions in market analysis.
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