1. M

    [R] Estimation of the emprical distribution

    Hi all, I was wondering if there's an R package online that automatically estimates the best distribution of my empirical data and gives the estimated parameters? I have a distribution that contains both positive and negative numbers. Cheers
  2. N

    What distribution is better in these situations?

    I'm new in statistics and probability and I'm a little lost about what distribution is better in these situations: If a tumor is malignant or not --> Bernouilli Number of entries in an emergency service during a night, know that on average 20 entries are observed per night. --> Poisson Tumor...
  3. A

    25th percentile of right-skewed and left-skewed distribution

    Hi All, Is it possible to have two lists of numbers with the same number of elements and same average, where one has a left-skewed distribution and the other has a right-skewed distribution and the 25h percentile of the numbers with the right-skewed distribution is smaller than the 25th...
  4. P

    binomial distribution problem, calculating probability from a B(p,q) distribution

    Hello everyone, I have been trying to solve this Beta distribution problem for quite some time without success. I can get as far as getting the 20 value, but I just cannot tell how the f(x)dx = .3672 is obtained. Underneath is a short description of the problem and on attachment the approach...
  5. K

    PDF of LogNormal distribution from random numbers

    Dear all, I have trouble understanding why "textbook" formula for probability density function (PDF) of lognormal distribution is different from results I got when I try to generate PDF using random data. So here is classic formula of lognormal PDF from Wikipedia with 1/x before...
  6. trinker

    Determine distribution and parameters

    I have a question but maybe it's the wrong question so I'll state the task first... I want to make data that looks like the data I'm working with without actually being the data itself. So I want to maintain structure as much as possible and generate an n row data set with similar...
  7. D

    Generating random data from correlations

    Say I have a list of personality traits: courage, materialism, compassion and so on. I interview some people and assign a rating from -10 to +10 to each trait for each person, then I find the correlation between each pair of traits. Now I want to create a "random person" by assigning a value...
  8. C

    Trying to calculate confidence intervals

    Hi everyone. The numbers below are the annual maintenance costs of a program I am working on. I'd like to use the data set to estimate future costs at different confidence intervals (e.g. 80%). Can you help me with what distribution would be best and how to produce a CDF that I can graph...
  9. K

    New Tax Concept

    Hello, I've been recently mulling over the systematic issues that seem to plague our current society. Primarily, income inequality. I'm a firm believer in capitalism and as such I wanted to find a solution to the income problem which worked with capitalism instead of against it. In...
  10. R

    Low within-scale variances leads to odd distribution

    Hello everyone: I'm a first time poster and I believe that this thread belongs in the General Stats topic, but feel free to correct me if you think it would have a better home under another topic. I have a nine-item measure with four response options. Across ~450 participants, ~180 had...
  11. P

    differential distribution frequency

    Hi there. pls I'm studying the production of energy from sawdust.So I need a firm grip in powder technology.Can anyone pls show me mathematically how the differential distribution frequency fm(D) was obtained in the attachment below. the data is from a published journal.Many thanks
  12. L

    Can I use a Negative Binomial Regression for a Continuous Outcome?

    Hello, My outcome is Sugar intake with a highly skewed continuous outcome variable. The histogram and variable details are Attached. Since the distribution is highly skewed and has a very high variance (12.78) compared to the mean (2.67) I thought I could round each decimal to the nearest...
  13. R

    Comparing means with Poisson distributed data?

    Hi everyone! How can I perform ANOVA, so to compare means, when the data of my groups are clearly Poisson distributed (towards 0 values)? Thanks a lot! Cheers
  14. trinker

    Show distributions, same height different variances

    I want show two distributions on the same pot that have identical height but different variances. I understand logically why my approach below doesn't result in equal heights. Now how can I force it to have equal heights. if (!require("pacman")) install.packages("pacman")...
  15. A

    Detecting Change in not Normally Distributed Count Data

    Hello, I was wondering if anyone could shed some light on how to interrogate count data whichholds a lot of 0'sand therefore not normally distributed. I have pasted in an example of the dataset i'm using. It gives 4 species counts across 27 sites (replicates) across intermittent years...
  16. A

    Aggregate Loss Model (Actuarial Science)

    Question: Let S be the random sum of N independent frequencies {{M_i}} where N is negative binomial distributed with r = 5 and \beta= 3 and {M_i} is Poisson distributed with  = 3. Find F_S(3) Attempt: I know the formulas for these two distribution, but I am totally lost of how I...
  17. hanialbarni

    How to test data if it is normal distribution in spss ?

    Hello Good morning guys i will need some help truly i have variables in spss most of them scale type, some of them are nominal, and few are ordinal. My questions how can i get the graph for normal distribution for the whole data ? shall i combine all scales into one variable and combine all...
  18. C

    Need help starting this question; unable to identify what type of question it is

    I can't tell if its asking for a binomial distribution or a normal probability distribution.. or maybe an approximation of a binomial distribution using a normal distribution..but then where does a random variable come in? here is the question: A company that manufactures mufflers for cars...
  19. E

    How well a few values fit a given distribution?

    Dear all, I have approximated two one-dimensional random variables A and B using Gaussian Mixture Models (3 gaussians). I used gmdistribution.fit Matlab function with 10000 values. The resulting distributions are called f_{A}(x) and f_{B}(x) (shown in attached Figure 1, being...
  20. G

    sampling distribution question help.

    "Mendel’s laws of inheritance indicate that individuals in a second-generation cross have a 75% chance of carrying a dominant trait and a 25% chance of carrying a recessive trait. Inheritance occurs independently in each individual. What is the sampling distribution of the proportion of...