# probability distribution

1. ### Tomographic map of 3D data with a dimension described by probability distribution

I have a three dimensional data set. Two first components are the exact values of(X,Y) and for the third dimension I have a probability attached to each point for each given value of z between (0,1.5). for example P(x0,y0,z0)=0.24 and the probability is not necessarily Gaussian, it can be...
2. ### Help with Probabilistic Modeling with many elements in simulation with unknown probs.

I'm wanting to create a probabilistic model based on several simulations, where I have a binary outcome (go or no-go) and a variable input. The old way of formulating the proability distribution was a straight-forward, curve-fitting of the input variable versus the "go or no-go" outcomes...
3. ### Finding the probability distribution of a dataset

Hello, I have a dataset of 100 numbers. The numbers seem to be random. I wanna find the probability distribution of the dataset. How can I do it mathematically? I would really appreciate a reply. Thank you Sujeeth Kumaravel
4. ### Proof the sum of two CDF's is a CDF.

This is a question my instructor asked in the last midterm exam but nobody was able to solve and he's suggesting it may come out again in the finals: If F(x) and G(X) are two CDF's, prove that H(X) is also a CDF if H(X) = F(X)+G(X)-F(x)G(X) He said something about right...
5. ### Mean of Current I with Random variable of R

Hi all, I am new to probability and not so good at it, So please bear with me :) If a voltage e is connected across a resistor whose resistance is random variable R, and uniformly distributed between a and b, I needed to find the Mean of current "I" given by "I = e/R" My question...
6. ### Risk Averse

A store has enough employees to attend to customers that are flowing into it at an average rate of 25 per hour. Should the store manager be employing more people if he expects 32 people per hour, when he is risk-averse and cannot take more than 10% risk?
7. ### Weibull distribution for data with zero's

Hi, Can any one tell me how to fit some data with zero's to a weibull fit using Matlab. I tried using Maximum Likelihood Estimator and wbfit. But I am experiencing problem because of zero's. It requires positive values. Thank you very much Vinay
8. ### Conditional Probability Help.

Helloooo Statisticians! I have a question that I believe I can solve but somehow I'm not getting the correct answer. So I'd really appreciate if anyone can point out my mistake for me. The question is: The grades of 1st year students were analysed. 70% of the top one quarter of the 1st year...
9. ### Sampling from a distribution

Assume I have a distribution governing the possible outcome from a single random variable X. This is something like [0.1, 0.4, 0.2, 0.3] for X being a value of either 1, 2, 3, 4. Is it possible to sample from this distribution, i.e. generate pseudo random numbers upon each of the possible...
10. ### Combining probability distribution functions

Hi, I'm comparing different measurement methods. I listed and derived an equation for each error component per measurement method and calculated the probability distribution using the Monte-Carlo method (calculating each error 300.000 times assuming a normal distribution of the input...
11. ### Probability of irregular 10-sided die

I've got an odd question here: I've got a 10-sided die with sides labeled as such: -1, 0, 0, 0, 0, 1, 1, 1, 1, 2 Thus, the odds for a single die look like this: Odds of -1: 0.1 Odds of 0: 0.4 Odds of +1: 0.4 Odds of +2: 0.1 I'm trying to find the probabilities of rolling every possible outcome...
12. ### needs urgent help in probability distribution

0 down vote favorite Suppose there are 1 million parts which have 1% defective parts i.e 1 million parts have 10000 defective parts. Now suppose we are taking different sample sizes from 1 million like 10%, 30%, 50%, 70%, 90% of 1 million parts and we need to calculate the probability of...
13. ### Sampling from N data points based on a given probability distribution

I have N data points, and each data points is associated with a probability. The sum of the N probabilities equals to one. I need to sample these N data points based on the given probability vector. Are there any algorithms that can allow me to do this kind of sampling?