Probability Function of X: Solutions & Steps

In summary: The problem may have been intended to beLet the probability function of X be given by f(x)= c e^{-x}, x=1,2,3,...(a)Find the value of c.The sum of the probabilities is \sum_{x=1}^\infty Ce^{-x} = C \sum_{x=1}^\infty e^{-x} = 1 .The sum is a geometric series with ratio e^{-1} so C \sum_{x=1}^\infty e^{-x} = 1 C \frac 1 {1 - e^{-1}} = 1 C = 1 - e^1(b) Find the moment
  • #1
tee yeh hun
17
0
Let the probability function of X be given by
f(x)= c e-x, x=1,2,3,...
(a)Find the value of c.
(b) Find the moment generating function of X,

Solutions (a) e-1
(b) (e-1) [ (et-1)/(1-et-1)]

Can anyone shows the steps?
 
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  • #2
tee yeh hun said:
Let the probability function of X be given by
f(x)= c e-x, x=1,2,3,...

It is more precise to say "probability density function".

(a)Find the value of c.

Solve the equation [tex] \sum_{x=0}^{\infty} Ce^{-x} = 1 [/tex] for [tex] C [/tex].

[tex] C \sum_{x=0}^{\infty}e^{-x} = 1 [/tex]

(The sum is a geometric series with ratio [itex] e^{-1} [/itex] )

Can you do the rest of the steps?


(b) Find the moment generating function of X,

M(t) is expected value of [tex] e^{tx} [/tex].

[tex] M(t) = \sum_{x=0}^\infty ( e^{tx} C e^{-x }) [/tex]

[tex] = C \sum_{x=0}^\infty (e^{t-1})^x [/tex]

The sum is a geometric series with ratio [itex] e^{t-1} [/itex]

Solutions (a) e-1

I got [tex] C = \frac{1}{1 - e^{-1}} [/tex]

Is that the same thing?.

(b) (e-1) [ (et-1)/(1-et-1)]

I got [tex] \frac{C}{ 1 - e^{t-1}} [/tex]
 
  • #3
thank you for the showings, appreciate it. Yes i can do the rest of it.
 
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  • #4
Stephen Tashi said:
I got [tex] C = \frac{1}{1 - e^{-1}} [/tex]

Is that the same thing?.


Here it goes,
It stated that the domain of x is from 1 to infinity(I am not sure why they didn't include 1.1, 2.3 , 5.89 these kind of numbers)

But unfortunately, if we are discussing probability density function, we use integral to find out where are the area covers.

∫Ce-xdx = 1 [1,infinity)

the integral or summation method is the same idea actually.

Then we will find out that our C is which is 1/(e^1)

but for all no reason the answer of (a) is e-1 not e the power of -1
 
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  • #5
the whole question is as follow
Let the probability function of X be given by
f (x) = ce-x , x = 1, 2, 3, ….
(a) Find the value of c.
(b) Find the moment generating function of X.
(c) Use the result obtained from (b) to find E(X).
(d) Find the probability generating function of X.
(e) Verify that E(X) obtained using probability generating function is same as in (c).


Answers:
answer1.jpg
 
  • #6
Perhaps there is a typographical error in the problem. Perhaps there is more than one typographical error.
 

FAQ: Probability Function of X: Solutions & Steps

1.

What is a probability function?

A probability function, also known as a probability distribution, is a mathematical function that describes the likelihood of different outcomes or events occurring in a given situation. It assigns a probability to each possible outcome or event, with the total probability being equal to 1.

2.

What is the purpose of a probability function?

The purpose of a probability function is to provide a mathematical model for understanding and predicting the likelihood of different outcomes in a specific situation. It allows us to make informed decisions and assess risk in various scenarios.

3.

What is the difference between discrete and continuous probability functions?

A discrete probability function is used when the possible outcomes are countable and have a finite or countably infinite number of values, such as rolling a dice or flipping a coin. A continuous probability function is used when the possible outcomes are uncountable and have a range of values, such as measuring the height of individuals in a population.

4.

What is the process for calculating the probability function of a random variable X?

The first step is to determine the possible values that X can take. Then, assign a probability to each value based on the given information or assumptions. Next, sum all the probabilities to ensure they add up to 1. Finally, plot the values and their corresponding probabilities on a graph to visualize the probability function.

5.

How is the probability function of X used in statistical analyses?

The probability function of X is used to calculate various measures of central tendency and variability, such as mean, median, and standard deviation. It also helps in making predictions and drawing conclusions about a population based on a sample. Additionally, it is used in hypothesis testing to determine the likelihood of obtaining a certain result by chance alone.

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