Statistical
Artificial Intelligence
Detection of Multicollinearity in Data sets using Statistical Testing.
Detecting multicollinearity in data sets is a crucial step but additionally difficult. I'll show the way to detect variables with similar behavior in mixed data sets and the way to deeper examine the relationships...
Artificial Intelligence
A Primer on Foundational Concepts You Must Start Running Statistical Tests
Quantitative study design, significance testing, and different classes of statistical tests.I got here to write down this text through what was a predictable yet still unexpected set of events. I recently finished a course...
Artificial Intelligence
A Deep Dive into the Science of Statistical Expectation
Just as within the discrete case, you integrate first over the variable whose expected value you need to calculate, after which integrate over the remaining of the variables.A famous example demonstrating the appliance of...
Artificial Intelligence
Unlocking the Power of p-values: Making Data-Driven Decisions with Statistical Significance But what does this mean within the context of business? Let’s explore some examples...
“If the statistics are boring, you’ve got the improper numbers.” — Edward TufteIf you have got ever taken a statistics class or worked with data in a business setting, you have got likely come...
Artificial Intelligence
Alternatives to the p-value Criterion for Statistical Significance (with R code)
Higher approaches to creating statistical decisionsNote that P10 and p2 are calculated under the idea that P(H0)=P(H1), which suggests that the researcher is impartial between H0 and H1 a priori. It is obvious from...
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