Stuck at a problem with an exponential distribution
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So I'm given an assignment in probability which states the following:
One bus in the city's public transport system in one route spends an amount of fuel which has an exponential distribution where the expected fuel consumption is 5 gallons.
a) In one day the city bus makes 50 routes. Find the least amount of fuel needed for the entire day so that the amount of fuel is enough with a probability not less than 0.985.
b) The bus has 50 gallons of fuel. How many routes can the bus make so that we will be certain with a probability of 0.985 that it will have enough fuel.
So I think I got a) solved. First of all the random variable X where the expected value is 1/λ from here we can find λ to be equaled to 1/8 but since it spends fuel for 50 routes then λ=50/8. So since X is the amount of fuel then we find X using the equation:
p(x) = $λe^{-λx}$
or:
0.985 = $frac{50}{8}e^{-frac{50}{8} x}$
From here a) is solved. However b) I don't know how to solve. I assume here x = 50 so do we need to find λ by solving the equation:
0.985 = $λe^{-50λ}$
probability
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show 1 more comment
$begingroup$
So I'm given an assignment in probability which states the following:
One bus in the city's public transport system in one route spends an amount of fuel which has an exponential distribution where the expected fuel consumption is 5 gallons.
a) In one day the city bus makes 50 routes. Find the least amount of fuel needed for the entire day so that the amount of fuel is enough with a probability not less than 0.985.
b) The bus has 50 gallons of fuel. How many routes can the bus make so that we will be certain with a probability of 0.985 that it will have enough fuel.
So I think I got a) solved. First of all the random variable X where the expected value is 1/λ from here we can find λ to be equaled to 1/8 but since it spends fuel for 50 routes then λ=50/8. So since X is the amount of fuel then we find X using the equation:
p(x) = $λe^{-λx}$
or:
0.985 = $frac{50}{8}e^{-frac{50}{8} x}$
From here a) is solved. However b) I don't know how to solve. I assume here x = 50 so do we need to find λ by solving the equation:
0.985 = $λe^{-50λ}$
probability
$endgroup$
$begingroup$
$p(x)=lambda e^{-lambda x}$ is the probability density function which (perhaps a bit confusing at first) is not a probability per se but a probability per unit, so solving $p(x)=p$ for some chance $0<p<1$ is misguided at best. You must instead use the cumulative distribution function $P(Xleq x)$.
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– LoveTooNap29
Jan 25 at 21:41
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Yes I am aware of that but it says the minimum amount of fuel needed for the probability of 0.985. Do you think the solution is wrong?
$endgroup$
– David Mason
Jan 25 at 22:44
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Of course because whatever $x$ you find that satisfies $p(x)=p$, yields a value of $p(x)$ which, I repeat, is not a probability. You need to find the smallest amount of fuel $x$ such that the amount spent, $X$, does not exceed it with probability $p=0.985$, i.e. you need to solve $min {x: P(Xleq x)=0.985}.$ Does that make sense?
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– LoveTooNap29
Jan 25 at 22:47
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Yes it does. So how do I solve that? Using the CDF?
$endgroup$
– David Mason
Jan 25 at 22:54
$begingroup$
Do you know what the CDF of an exponentially random variable is given by? Once you recall that, it will be straightforward to solve. Hint: for any continuous random variable $X$ with PDF $f_X(x)$, the CDF is defined as $F_X(x):=P(Xleq x)=int_{-infty}^x f_X(x) mathrm{d}x$.
$endgroup$
– LoveTooNap29
Jan 25 at 23:04
|
show 1 more comment
$begingroup$
So I'm given an assignment in probability which states the following:
One bus in the city's public transport system in one route spends an amount of fuel which has an exponential distribution where the expected fuel consumption is 5 gallons.
a) In one day the city bus makes 50 routes. Find the least amount of fuel needed for the entire day so that the amount of fuel is enough with a probability not less than 0.985.
b) The bus has 50 gallons of fuel. How many routes can the bus make so that we will be certain with a probability of 0.985 that it will have enough fuel.
So I think I got a) solved. First of all the random variable X where the expected value is 1/λ from here we can find λ to be equaled to 1/8 but since it spends fuel for 50 routes then λ=50/8. So since X is the amount of fuel then we find X using the equation:
p(x) = $λe^{-λx}$
or:
0.985 = $frac{50}{8}e^{-frac{50}{8} x}$
From here a) is solved. However b) I don't know how to solve. I assume here x = 50 so do we need to find λ by solving the equation:
0.985 = $λe^{-50λ}$
probability
$endgroup$
So I'm given an assignment in probability which states the following:
One bus in the city's public transport system in one route spends an amount of fuel which has an exponential distribution where the expected fuel consumption is 5 gallons.
a) In one day the city bus makes 50 routes. Find the least amount of fuel needed for the entire day so that the amount of fuel is enough with a probability not less than 0.985.
b) The bus has 50 gallons of fuel. How many routes can the bus make so that we will be certain with a probability of 0.985 that it will have enough fuel.
So I think I got a) solved. First of all the random variable X where the expected value is 1/λ from here we can find λ to be equaled to 1/8 but since it spends fuel for 50 routes then λ=50/8. So since X is the amount of fuel then we find X using the equation:
p(x) = $λe^{-λx}$
or:
0.985 = $frac{50}{8}e^{-frac{50}{8} x}$
From here a) is solved. However b) I don't know how to solve. I assume here x = 50 so do we need to find λ by solving the equation:
0.985 = $λe^{-50λ}$
probability
probability
asked Jan 25 at 17:31
David MasonDavid Mason
587
587
$begingroup$
$p(x)=lambda e^{-lambda x}$ is the probability density function which (perhaps a bit confusing at first) is not a probability per se but a probability per unit, so solving $p(x)=p$ for some chance $0<p<1$ is misguided at best. You must instead use the cumulative distribution function $P(Xleq x)$.
$endgroup$
– LoveTooNap29
Jan 25 at 21:41
$begingroup$
Yes I am aware of that but it says the minimum amount of fuel needed for the probability of 0.985. Do you think the solution is wrong?
$endgroup$
– David Mason
Jan 25 at 22:44
$begingroup$
Of course because whatever $x$ you find that satisfies $p(x)=p$, yields a value of $p(x)$ which, I repeat, is not a probability. You need to find the smallest amount of fuel $x$ such that the amount spent, $X$, does not exceed it with probability $p=0.985$, i.e. you need to solve $min {x: P(Xleq x)=0.985}.$ Does that make sense?
$endgroup$
– LoveTooNap29
Jan 25 at 22:47
$begingroup$
Yes it does. So how do I solve that? Using the CDF?
$endgroup$
– David Mason
Jan 25 at 22:54
$begingroup$
Do you know what the CDF of an exponentially random variable is given by? Once you recall that, it will be straightforward to solve. Hint: for any continuous random variable $X$ with PDF $f_X(x)$, the CDF is defined as $F_X(x):=P(Xleq x)=int_{-infty}^x f_X(x) mathrm{d}x$.
$endgroup$
– LoveTooNap29
Jan 25 at 23:04
|
show 1 more comment
$begingroup$
$p(x)=lambda e^{-lambda x}$ is the probability density function which (perhaps a bit confusing at first) is not a probability per se but a probability per unit, so solving $p(x)=p$ for some chance $0<p<1$ is misguided at best. You must instead use the cumulative distribution function $P(Xleq x)$.
$endgroup$
– LoveTooNap29
Jan 25 at 21:41
$begingroup$
Yes I am aware of that but it says the minimum amount of fuel needed for the probability of 0.985. Do you think the solution is wrong?
$endgroup$
– David Mason
Jan 25 at 22:44
$begingroup$
Of course because whatever $x$ you find that satisfies $p(x)=p$, yields a value of $p(x)$ which, I repeat, is not a probability. You need to find the smallest amount of fuel $x$ such that the amount spent, $X$, does not exceed it with probability $p=0.985$, i.e. you need to solve $min {x: P(Xleq x)=0.985}.$ Does that make sense?
$endgroup$
– LoveTooNap29
Jan 25 at 22:47
$begingroup$
Yes it does. So how do I solve that? Using the CDF?
$endgroup$
– David Mason
Jan 25 at 22:54
$begingroup$
Do you know what the CDF of an exponentially random variable is given by? Once you recall that, it will be straightforward to solve. Hint: for any continuous random variable $X$ with PDF $f_X(x)$, the CDF is defined as $F_X(x):=P(Xleq x)=int_{-infty}^x f_X(x) mathrm{d}x$.
$endgroup$
– LoveTooNap29
Jan 25 at 23:04
$begingroup$
$p(x)=lambda e^{-lambda x}$ is the probability density function which (perhaps a bit confusing at first) is not a probability per se but a probability per unit, so solving $p(x)=p$ for some chance $0<p<1$ is misguided at best. You must instead use the cumulative distribution function $P(Xleq x)$.
$endgroup$
– LoveTooNap29
Jan 25 at 21:41
$begingroup$
$p(x)=lambda e^{-lambda x}$ is the probability density function which (perhaps a bit confusing at first) is not a probability per se but a probability per unit, so solving $p(x)=p$ for some chance $0<p<1$ is misguided at best. You must instead use the cumulative distribution function $P(Xleq x)$.
$endgroup$
– LoveTooNap29
Jan 25 at 21:41
$begingroup$
Yes I am aware of that but it says the minimum amount of fuel needed for the probability of 0.985. Do you think the solution is wrong?
$endgroup$
– David Mason
Jan 25 at 22:44
$begingroup$
Yes I am aware of that but it says the minimum amount of fuel needed for the probability of 0.985. Do you think the solution is wrong?
$endgroup$
– David Mason
Jan 25 at 22:44
$begingroup$
Of course because whatever $x$ you find that satisfies $p(x)=p$, yields a value of $p(x)$ which, I repeat, is not a probability. You need to find the smallest amount of fuel $x$ such that the amount spent, $X$, does not exceed it with probability $p=0.985$, i.e. you need to solve $min {x: P(Xleq x)=0.985}.$ Does that make sense?
$endgroup$
– LoveTooNap29
Jan 25 at 22:47
$begingroup$
Of course because whatever $x$ you find that satisfies $p(x)=p$, yields a value of $p(x)$ which, I repeat, is not a probability. You need to find the smallest amount of fuel $x$ such that the amount spent, $X$, does not exceed it with probability $p=0.985$, i.e. you need to solve $min {x: P(Xleq x)=0.985}.$ Does that make sense?
$endgroup$
– LoveTooNap29
Jan 25 at 22:47
$begingroup$
Yes it does. So how do I solve that? Using the CDF?
$endgroup$
– David Mason
Jan 25 at 22:54
$begingroup$
Yes it does. So how do I solve that? Using the CDF?
$endgroup$
– David Mason
Jan 25 at 22:54
$begingroup$
Do you know what the CDF of an exponentially random variable is given by? Once you recall that, it will be straightforward to solve. Hint: for any continuous random variable $X$ with PDF $f_X(x)$, the CDF is defined as $F_X(x):=P(Xleq x)=int_{-infty}^x f_X(x) mathrm{d}x$.
$endgroup$
– LoveTooNap29
Jan 25 at 23:04
$begingroup$
Do you know what the CDF of an exponentially random variable is given by? Once you recall that, it will be straightforward to solve. Hint: for any continuous random variable $X$ with PDF $f_X(x)$, the CDF is defined as $F_X(x):=P(Xleq x)=int_{-infty}^x f_X(x) mathrm{d}x$.
$endgroup$
– LoveTooNap29
Jan 25 at 23:04
|
show 1 more comment
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$begingroup$
$p(x)=lambda e^{-lambda x}$ is the probability density function which (perhaps a bit confusing at first) is not a probability per se but a probability per unit, so solving $p(x)=p$ for some chance $0<p<1$ is misguided at best. You must instead use the cumulative distribution function $P(Xleq x)$.
$endgroup$
– LoveTooNap29
Jan 25 at 21:41
$begingroup$
Yes I am aware of that but it says the minimum amount of fuel needed for the probability of 0.985. Do you think the solution is wrong?
$endgroup$
– David Mason
Jan 25 at 22:44
$begingroup$
Of course because whatever $x$ you find that satisfies $p(x)=p$, yields a value of $p(x)$ which, I repeat, is not a probability. You need to find the smallest amount of fuel $x$ such that the amount spent, $X$, does not exceed it with probability $p=0.985$, i.e. you need to solve $min {x: P(Xleq x)=0.985}.$ Does that make sense?
$endgroup$
– LoveTooNap29
Jan 25 at 22:47
$begingroup$
Yes it does. So how do I solve that? Using the CDF?
$endgroup$
– David Mason
Jan 25 at 22:54
$begingroup$
Do you know what the CDF of an exponentially random variable is given by? Once you recall that, it will be straightforward to solve. Hint: for any continuous random variable $X$ with PDF $f_X(x)$, the CDF is defined as $F_X(x):=P(Xleq x)=int_{-infty}^x f_X(x) mathrm{d}x$.
$endgroup$
– LoveTooNap29
Jan 25 at 23:04