You have to rely on experience, knowledge about the subject of interest, and common sense to determine if a data point is an outlier and how to handle it.Choosing Python Statistics Libraries There are many Python statistics libraries out there for you to work with, but in this tutorial, ...
In this post, you’ll learn how to spot misleading statistics and data. We’ll look at the common ways they mislead and how to determine when data can bear the weight of critical decisions. What is a Misleading Statistic? Misleading statistics refer to data points, figures, or visual repres...
Correlation and Causation Correlation must not be confused with causality. The famous expression “correlation does not mean causation” is crucial to the understanding of the two statistical concepts. If two variables are correlated, it does not imply that one variable causes the changes in another ...
You have to rely on experience, knowledge about the subject of interest, and common sense to determine if a data point is an outlier and how to handle it.Choosing Python Statistics Libraries There are many Python statistics libraries out there for you to work with, but in this tutorial, ...
I always take it with a grain of salt, at least initially. It might be true, but one survey or poll is usually not enough to establish anything. It is only through replication of the results, which often never happens that you can really determine if a statistical finding is in fact tr...
World Bank,2014). These were publicized as early signs of EVD in a precautionary mode from the outset of the declared emergency in West Africa, signalling the public to report to a clinic at once with any of these symptoms. No laboratory test was required to determine a case of Ebola. Ye...
Sometimes, the “why” will be answered with direct questions in the survey and sometimes with multiple-choice boxes. Other times, it will be up to you as the survey analyst to determine causation, if possible. And this is where we need to be careful. It's easy to become sucked into ...
We fall prey to illusory correlations in many areas of our lives, often without realising it. In fact, we may feel like we’re being smart by spotting trends or connections where nobody else seems to have noticed. You fail a job interview on a Friday, so you determine this is a bad...
The idea is that we can run through several scenarios, or policies, to determine if some are better than others and thus optimize our decision making process (assuming the optimal policy is also feasible). Typically, actions, (state) transitions, and associated rewards will not be are not ...
Each user interacts with your product in a slightly different way. Even if you have a standard user flow, how users engage with your site creates a unique data fingerprint, which can be analyzed to find patterns. Sift through the data to determine if there are similar behaviors that emerge....