Probability expectations with n

  • MHB
  • Thread starter Carla1985
  • Start date
  • Tags
    Probability
In summary, the conversation discusses a question regarding the use of the discrete p.d.f. and the calculation of expected values using a series. The question is clarified and the mistake in the calculation is corrected. The conversation ends with gratitude for the help.
  • #1
Carla1985
94
0
I'm stuck on this question. I've done plenty of the questions with numbers etc but not sure how to deal with the n case for this one.

View attachment 689

Thank you :)
 

Attachments

  • Screen Shot 2013-03-10 at 21.40.25.png
    Screen Shot 2013-03-10 at 21.40.25.png
    25.2 KB · Views: 62
Physics news on Phys.org
  • #2
Carla1985 said:
I'm stuck on this question. I've done plenty of the questions with numbers etc but not sure how to deal with the n case for this one.

View attachment 689

Thank you :)

If the discrete p.d.f. is...

$\displaystyle P \{ \xi = n \} = \frac{3}{4}\ (\frac{1}{4})^{n}$ (1)

... then, tacking into account that is...

$\displaystyle \sum_{n=0}^{\infty} n\ x^{n} = \frac{x} {(1-x)^{2}}$ (2)

... You obtain...

$\displaystyle E \{ \xi \} = \frac{3}{4}\ \sum_{n=0}^{\infty} n\ (\frac{1}{4})^{n} = \frac{\frac{3}{4}\ \frac{1}{4}}{(\frac{3}{4})^{2}} = \frac{1}{3}$ (3)

Regarding (ii) by definition is...

$\displaystyle E \{ (-3)^{\xi} \} = \frac{3}{4}\ \sum_{n=0}^{\infty} (-3)^{n}\ (\frac{1}{4})^{n} = \frac{3}{4} \frac{1}{1+\frac{3}{4}} = \frac{3}{7}$ (4)Kind regards$\chi$ $\sigma$
 
Last edited:
  • #3
chisigma said:
... You obtain...

$\displaystyle E \{ \xi \} = \frac{3}{4}\ \sum_{n=0}^{\infty} n\ (\frac{1}{4})^{n} = \frac{\frac{3}{4}}{(\frac{3}{4})^{2}} = \frac{4}{3}$ (3)
Im confused by this part. If i use the series from the line above taking x to be 1/4 isn't it 1/4 on top instead of 3/4? or have i missed something?
Thanks for the help x
 
  • #4
Carla1985 said:
Im confused by this part. If i use the series from the line above taking x to be 1/4 isn't it 1/4 on top instead of 3/4? or have i missed something?
Thanks for the help x

All right!... the mistake has been corrected... thak You very much!...

Kind regards

$\chi$ $\sigma$
 
  • #5
Thats fab, thanks very much for the help x
 

FAQ: Probability expectations with n

What is the formula for calculating probability expectations with n?

The formula for calculating probability expectations with n is E(X) = ΣxP(x), where E(X) is the expected value, Σx is the sum of all possible outcomes, and P(x) is the probability of each outcome.

How is probability expectations with n different from regular probability?

Probability expectations with n takes into account not only the likelihood of an event occurring, but also the number of times it is expected to occur in a given number of trials. This allows for a more accurate prediction of the outcomes.

Can probability expectations with n be negative?

Yes, probability expectations with n can be negative. This can occur when the expected value is less than the actual value, indicating that there is a higher chance of a loss or negative outcome.

How can we use probability expectations with n in real life?

Probability expectations with n can be used in real life to make predictions and decisions based on data. For example, a company can use it to determine the expected profits from a new product launch, or a doctor can use it to predict the likelihood of a patient's recovery from a treatment.

What are some common applications of probability expectations with n in science?

Probability expectations with n is commonly used in various fields of science, such as genetics, physics, and economics. For example, it can be used to predict the likelihood of certain genetic traits being passed down in a family, or to calculate the expected return on investment in a scientific experiment.

Similar threads

Back
Top