1. D

    Why do we differentiate between log linear vs. exponential time series

    Given by definition for a function to be linear on a log plot, it must be exponential (bc log_a(e^x)=x), why do we differentiate between log linear and exponential things?
  2. I

    Exam Problem: calculating the overall distribution based on individual parts' distributions?

    Hi guys, hope you are enjoying the day! So I am having this problem where I have a population of people that participated in a national examination process (N=20,500). The examination required each student to take 4 different tests A, B, C and D and then they would be graded on a scale of...
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    If I know all the parameters of a distribution (mean, deviation, skewness, kurtosis,…) how do I calculate what quantile a certain data is at?

    I have a game with levels. I am tracking the time (in seconds) each of my users took to complete a certain level. What I want to accomplish is to show the user how their time compares to others (i.e. "Your time is better than 60.5%") by using the existing data that I have. From the raw data...
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    How does one calculate distributions from inprecise time span data of differing levels of precision?

    Hi everybody I am new to the forum and apologize in advance if I have missed a similar thread when searching the forum. I have a very specific data set, for which I am trying to find a way to calculate a distribution. It consists of age-at-death estimations of archaeological skeletal remains...
  5. G

    Research Presentation Help

    Hello, I am stressing for an introductory business statistics class for university. I currently have the top 200 point getters from the 2018-2019 NHL regular season data tabulated along with each players respective cap hit (or salary) for the season. I am extremely struggling to decide and...
  6. F

    Help Determing What Distribution

    I believe I have answered a), as L~Gamma(N,1/20), therefore mgf = (20/(20-t))^N (if wrong please feel free to correct me). It has been defined that L=-ln(U), and I am finding difficulty in determing what distribution U would be classified as. Once classfieid, I believe that finding the mean...
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  8. A

    Error between two probability distributions

    I need to measure the accuracy of an algorithm that estimates a probability distribution ((key : probability) values). I have the true distribution (for each key I have the true probability). What method(s) would be the most standard way of doing this? I found Kullback-Leibler divergence but it...
  9. D

    Validate my algorithm with probability?

    Before I start I wanna say sorry. This post might a bit vague, I'm not really sure where I'm going and it's been a while since I took a stat class. I'm hoping someone can nudge me in the right direction here, kinda lost at the moment. We have an algorithm for correcting people's height - it's...
  10. J

    How do you put a Distribution in a Risk Analysis?

    In conducting a Probability Risk Analysis or statistical risk Analysis, for example over the actions of nature for a particular period of time and for a particular geographical location, one is expected to put a distribution over all the actions of nature and choose the action that maximizes...
  11. J

    Proability of failure

    Hello, I have a date set (n=150) with 2 variables: contract value ($) and a binary variables success/failures that indicate whether the contract was completed without problems. I want to know, for a given contract value, the probability of failure. I decided to create a basic histogram with my...
  12. O

    Normality: DV itself or residuals?

    I always thought that we should be testing the assumption of normality by looking at the distribution of the DV in our design (by each level of the IV). But I keep seeing people talking about the residuals of the DV. For example, in ANOVA (and I suppose by extension the t-test and regression)...
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    Binomial Probability of Remaining Trials at a different X value

    I am trying to find the binomial probability of the remaining trials in a binomial probability at a different probability of success on the leftover trials. My example: Number of Trials 6 Number of Successes 2 Prob of success on one trial: 75.8% Binomial probability output: 2.95% Out of my...
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    Question on distribution (newsagent profit problem)

    I know that the given distribution is a discrete uniform distribution to model the number of customers. How do I link this to the two possible events (given in the hint) to get the expected value of profit as a function of n, and how do I get this function when the profit function seems to be...
  15. S

    Sampling Distribution Problem

    Roll a dice five times. Record the results in Sample 1. Repeat the experiment for Sample 2, 3, and 4. In a live classroom setting, actual survey data is used. In this knowledge check online environment, please use the following data: Sample 1 Sample 2 Sample 3 Sample 4 2 4...
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    Should I use some sort of Chi Square Distribution or another method... Any assistance is greatly appreciated.

    I am asking for assistance or guidance to point me in the right direction for this problem I am trying to find a solution. Problem: I need to come up with a percentage to show a Severity of Defects for monthly software releases at my company. Each month our customers inform us of bugs/issues...
  17. M

    Chi Square & Weighted Average

    I am asking for assistance or guidance to point me in the right direction for this problem I am trying to find a solution. Problem: I need to come up with a percentage to show a Severity of Defects for monthly software releases at my company. Each month our customers inform us of bugs/issues...
  18. Q

    95% CI for rare incidence rate increasing in time.

    I have a plot of 10 incidence rates across time (see picture). I want to calculate the 95% confidence interval for each rate. It would be easiest to just do a normal distribution calculation, but I'm concerned this is not applicable here. For one, they are rare events. I thought to do a poisson...
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    Finding Symmetry(Quantitatively) and Variability between two distributions!

    I'm Currently working on Gait data,collected from 3-axis accelerometer(large data set).Need to compare(Left leg acceleration and Right leg acceleration data) and should find Symmetry and Variability Quantitatively by looking at the distribution of the acceleration data,have already found...
  20. B

    Combining two sources of uncertainty

    I will use an imperfect dice for simplicity. Let's assume there are two factors that influence the probability of the results obtained from throwing a dice: 1) the way the dice is thrown and 2) imperfections of the dice. Let's assume that we know what is the probability distribution of the...