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If you are looking for some problems with solutions you can find some by clicking on the "Practice Problems" link above.
Section 8.5 : Probability
- Let,
\[f\left( x \right) = \left\{ {\begin{array}{ll}{\displaystyle \frac{3}{4}\left( {2x - {x^2}} \right)}&{{\mbox{if }}0 \le x \le 2}\\0&{{\mbox{otherwise}}}\end{array}} \right.\]
- Show that \(f\left( x \right)\) is a probability density function.
- Find \(P\left( {X \le 0.25} \right)\).
- Find \(P\left( {X \ge 1.4} \right)\).
- Find \(P\left( {0.1 \le X \le 1.2} \right)\).
- Determine the mean value of \(X\).
- Let,
\[f\left( x \right) = \left\{ {\begin{array}{ll}{\displaystyle \frac{4}{{\ln \left( 3 \right)\left( {4x + {x^2}} \right)}}}&{{\mbox{if 1}} \le x \le 6}\\0&{{\mbox{otherwise}}}\end{array}} \right.\]
- Show that \(f\left( x \right)\) is a probability density function.
- Find \(P\left( {X \le 1} \right)\).
- Find \(P\left( {X \ge 5} \right)\).
- Find \(P\left( {1 \le X \le 5} \right)\).
- Determine the mean value of \(X\).
- Let,
\[f\left( x \right) = \left\{ {\begin{array}{ll}{\displaystyle \frac{1}{{10}}\left( {1 + \sin \left( {\pi x - \frac{\pi }{2}} \right)} \right)}&{{\mbox{if 0}} \le x \le 10}\\0&{{\mbox{otherwise}}}\end{array}} \right.\]
- Show that \(f\left( x \right)\) is a probability density function.
- Find \(P\left( {X \le 3} \right)\).
- Find \(P\left( {X \ge 5} \right)\).
- Find \(P\left( {2.5 \le X \le 7} \right)\).
- Determine the mean value of \(X\).
- The probability density function of the life span of a battery is given by the function below, where t is in years.
\[f\left( t \right) = \left\{ {\begin{array}{ll}{1.25{{\bf{e}}^{ - \,1.25t}}}&{{\mbox{if }}t \ge 0}\\0&{{\mbox{if }}t < 0}\end{array}} \right.\]
- Verify that \(f\left( t \right)\) is a probability density function.
- What is the probability that a battery will have a life span less than 10 months?
- What is the probability that a battery will have a life span more than 2 years?
- What is the probability that a battery will have a life span between 1.5 and 4 years?
- Determine the mean value of the life span of the batteries.
- The probability density function of the successful outcome from some experiment is given by the function below, where t is in minutes.
\[f\left( t \right) = \left\{ {\begin{array}{ll}{\displaystyle \frac{1}{9}\,t\,{{\bf{e}}^{ - \,\,\frac{t}{3}}}}&{{\mbox{if }}t \ge 0}\\0&{{\mbox{if }}t < 0}\end{array}} \right.\]
- Verify that \(f\left( t \right)\) is a probability density function.
- What is the probability of a successful outcome happening in less than 12 minutes?
- What is the probability of a successful outcome happening after 25 minutes?
- What is the probability of a successful outcome happening between 10 and 75 minutes?
- What is the mean time of a successful outcome from the experiment?
- Determine the value of \(c\) for which the function below will be a probability density function. \[f\left( x \right) = \left\{ {\begin{array}{*{20}{l}}{c\left( {12{x^4} - {x^5}} \right)}&{{\mbox{if }}0 \le x \le 12}\\0&{{\mbox{otherwise}}}\end{array}} \right.\]
- Use the function below for this problem and assume \(a > 0\).
\[f\left( x \right) = \left\{ {\begin{array}{*{20}{l}}{c\,{{\bf{e}}^{ - \,\,\frac{1}{a}\,\,x}}}&{x \ge 0}\\0&{x < 0}\end{array}} \right.\]
- Determine the value of \(c\) for which this function will be a probability density function.
- Using the value of \(c\) found in the first part determine the mean value of the probability density function.