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  1. M

    data fitting

    Thanks. I updated the plot, it seems the data is scattered. Are there any statistical methods to understand this type of data?
  2. M

    data fitting

    Hi, I have a data which represents some items indices (x axis) and the mean rating (y axis). I want to draw a trendline to understand the tendency of the data. Please look at the following figure. I used polyfit method in numpy, the r square is 0.05. How can I interpret this? What else you...
  3. M

    Design experiments and analysis for a simulation

    Thanks for your response. How to know about which variables to test for the sensitivity analysis, and How to deal with the randomness you added to the model!
  4. M

    Design experiments and analysis for a simulation

    Hi, I am building an agent-based simulation, There is no real data to construct the model, a data is used to generate some values helo to define agents' decision making. There is also some randomness added to the model. I need to know the best methods that allow me to design experiments and...
  5. M

    Beta distribution

    I will look into it. Thank you @hlsmith!
  6. M

    Beta distribution

    I used 0.5 for both a and b. Thanks
  7. M

    Beta distribution

    @hlsmith I intend to use it for a simulation, to model a decision for sharing an opinion among agents. It is a Beta distribution, but I want to increase the probability in the middle a little.
  8. M

    Beta distribution

    Thanks @Dason, I added an image.
  9. M

    Beta distribution

    I mean to move the curve to the top, I want to increase the probability of the values between 0 and 1
  10. M

    Beta distribution

    Hi, I want to have a distribution similar to U-shape beta distribution as the following: I want to make the distribution as : Any idea? Thanks
  11. M

    Interpretation of boxplot

    There should be some variation, but this is what I got. There are many outliers as appear from the boxplot. Maybe the distribution will be ok. My question is in general, how I can show my findings if the values are very close? Thanks
  12. M

    Interpretation of boxplot

    Hi, I need to analyze data that is produced from a simulation. The values are very close to each other, which makes it hard for me to interpret or choosing the right plot. For example, the following boxplot, y-axis as confidence [0,1] values that is the average of multiple actors in many runs...
  13. M

    U-shaped Beta distribution

    Yeah, I am not sure how to do it, but I will see. Thank you!
  14. M

    U-shaped Beta distribution

    Thank you @katxt @Dason, I really appreciate your help!
  15. M

    U-shaped Beta distribution

    I understood that beta distribution has alpha and beta parameters which define the shape of the distribution. Values from beta distribution are between 0 and 1. It means there is a difference between upper and lower limits and beta parameters(a,b)?
  16. M

    U-shaped Beta distribution

    The mean that I have is larger than 1, and I want to draw random value from a scaled beta distribution
  17. M

    U-shaped Beta distribution

    What are the values of a and b?
  18. M

    U-shaped Beta distribution

    Thanks guys, and sorry for the confusion I made. I will rephrase my question somehow, how to draw a beta distribution if I have the value of the mean? Thanks
  19. M

    U-shaped Beta distribution

    I want the beta should only generate between 0,1. I am asking the question but not sure if it will be possible to use beta distribution. Because beta distribution has U-shaped, I thought it might serve, as I want to get a large probability with values close to the edges.
  20. M

    U-shaped Beta distribution

    I only have a value(between 0 and 10 and it is computed in different event) and I want to get a beta distribution [0,1] based on that value, beta should give a probability that is larger on the edges.