Interpreting statistical significance and statistical importance in survey data.

People have been raving about this using obvious examples and conceptual approaches and I still can’t see how to explain this.

I am working on a customer feedback datasheet and I have binary data I wish to correlate to a Net Promoter Score.

Statistical importance methods I have implemented, such as Shapley values on an OLS model and Jackson’s Relative Importance on an multinomial ordered logistic regression model have both agreed and given me a sketch on what are the variables that influenced the outcome the most.

The p-tests I have though I find hard to interpret in words I can explain to a customer.

Say for instance Shapley And Jackson both concluded that the waiting time is causing a low NPS outcome by having a high negative weight, I can go on and directly conclude that the people who complained about waiting time gave you people low scores.

But when the p-test comes in with a high p-value of like 0.3. What does that even mean? Why is it important according to Shapley, Beta coefficients, and Jackson, while its p-test is essentially saying this might as well be luck? How do I explain that to someone who just wants to know what’s wrong with his service?

Pictures and results here

submitted by /u/dariusnailedit
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How far can self-taught mathematics take you?

As someone recently out of high-school and reluctant to study at a university immediately, I’m trying to self-teach myself things for the time being. My math teacher said to our class that math is different to other subjects because for some reason people seem to have difficultly simply reading books to learn math without another person talking and explaining it compared to other subjects. This had me wondering: how advanced and deep in a topic of math (e.g. set theory) is it feasible to reach and understand by accessing resources that don’t require a professor as a teacher, such as textbooks, library books, recordings of lectures, explanations online, etc?

submitted by /u/StickandSauce
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From my experience, few statisticians choose to go the social research route, or work in something social science related. Why is that the case?

Is it because the pay is subpar compared to tech, pharma or finance? I personally find social research extremely interesting and i also think that my services would be more impactful there because the statistics knowledge of social scientists tends to be even more underdeveloped than the above areas

But no statistician i know works in that area, and i read similar things online. Is it because of the pay?

submitted by /u/Asosas
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Bounded operators that commutes with translations


It is well known that a bounded linear operator A in L1 (R) or L2 (R) that commutes with translations is a convolution operator (Au = f*u for a given function f).

I am looking for the most general setting for this result. I am thinking about something like a “continuous” linear mapping in D'(R) (distributions) that commutes with translations, but I cannot find any good references on the subject and I am not sure what continuous means in this context.

Thanks for your help !

submitted by /u/Valvino
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Using a Machine Learning Model in a Web Application Client

Current trends seem to indicate that software engineers will increasingly be asked to apply machine learning models to production software. While the development of the models remain with Data Scientist, trained models often tossed over to Software Engineers. This creates a set of challenges for Software Engineers. Consider a situation where a model needs to be applied to a Web Application. Models are often delivered in Python while the client-side of the Web Application operates on JavaScript. How can Software Engineers apply a Python model on the Web in JavaScript? How could they minimise the data security footprint? Could the model operate offline?

Luckily, it is becoming easier to apply machine learning models on the Web. There are libraries, such as Tensorflow JS which enables the use of models with JavaScript. Additionally, packaging the model with the Web Application client allows the model to operate offline. This also means data does not need to leave the user’s machine for predictions to be made. This is a big data security win 🙂

submitted by /u/whitezl0
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