A library for Django Rest Framework returning consistent, predictable and easy-to-parse API error messages inspired by RFC7807 guidelines.
Calculate the standard error of the mean for a double-precision floating-point strided array.
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
credit card launch example sample mean: 1990 sample SD: 2833 Pop mean: ? n=140 (In cases, where pop SD is not known, use t-values and practically in all problems prefer t over z) Q: Construct 95% confidence interval for mean card balance and interpret it
credit card launch example sample mean: 1990 sample SD: 2833 Pop SD: 2500 Pop mean: ? n=140 Q: Construct 95% confidence interval for mean card balance and interpret it
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
interaction in epidemiology
Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square
Probability and Statistics for Machine Learning
Data Science Foundations II | Statistics Fundamentals for Data Science | Sampling for Data Science
The error-message-utils package simplifies error management in your web applications and RESTful APIs. It ensures consistent and scalable handling of error messages, saving you time and effort. Moreover, it gives you the ability to assign custom error codes so all possible cases can be handled accordingly.
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