cdf
Here are 243 public repositories matching this topic...
Pareto (Type I) distribution cumulative distribution function (CDF).
-
Updated
Apr 12, 2024 - JavaScript
Kumaraswamy's double bounded distribution quantile function.
-
Updated
Apr 12, 2024 - JavaScript
Geometric distribution quantile function.
-
Updated
Apr 12, 2024 - JavaScript
Natural logarithm of the cumulative distribution function (CDF) for a Student's t distribution.
-
Updated
Apr 12, 2024 - JavaScript
Kumaraswamy's double bounded distribution constructor.
-
Updated
Apr 12, 2024 - JavaScript
Degenerate distribution cumulative distribution function (CDF).
-
Updated
Jun 1, 2024 - JavaScript
Hypothesis-Test in python
-
Updated
Sep 27, 2020 - Jupyter Notebook
The time required for servicing transmissions is normally distributed with mean = 45 minutes and SD = 8 minutes. The service manager plans to have work begin on the transmission of a customer’s car 10 minutes after the car is dropped off and the customer is told that the car will be ready within 1 hour from drop-off. What is the probability that…
-
Updated
Mar 24, 2021 - Jupyter Notebook
Auditors at a small community bank randomly sample 100 withdrawal transactions made during the week at an ATM machine located near the bank’s main branch. Over the past 2 years, the average withdrawal amount has been $50 with a standard deviation of $40. Since audit investigations are typically expensive, the auditors decide to not initiate furt…
-
Updated
Jun 5, 2021 - Jupyter Notebook
Weibull distribution cumulative distribution function (CDF).
-
Updated
Apr 12, 2024 - JavaScript
Geometric distribution constructor.
-
Updated
Apr 12, 2024 - JavaScript
Lévy distribution quantile function.
-
Updated
Apr 12, 2024 - JavaScript
Chi distribution cumulative distribution function (CDF).
-
Updated
Apr 13, 2024 - JavaScript
Chi distribution quantile function.
-
Updated
Apr 13, 2024 - JavaScript
F distribution cumulative distribution function (CDF).
-
Updated
Apr 13, 2024 - JavaScript
An ISTP standard layer for CDF files
-
Updated
May 16, 2024 - Jupyter Notebook
Q2.The current age (in years) of 400 clerical employees at an insurance claims processing center is normally distributed with mean = 38 and Standard deviation =6. For each statement below, please specify True/False. If false, briefly explain why. A. More employees at the processing center are older than 44 than between 38 and 44. B. A training pr
-
Updated
May 5, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the cdf topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the cdf topic, visit your repo's landing page and select "manage topics."