There is a cause and an effect. Because it rains, people take their umbrellas with them. Sometimes these assumptions can be explained logically. We then have a clear picture of the cause and the effect. Such as with the rain and the use of the umbrella. The most important thing here is to think carefully whether one can precede the other and whether there can be no other explanation for the connection. By deducing that it may be logical that there is a causal relationship, you come a long way towards the correct conclusion. Nicolas Cage and people drowned in a swimming pool Although the statistic tries to exclude as much chance as possible, it can happen that a significant effect is chance .
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So it is very important to keep thinking logically. For example, studies show that the more Nicolas Cage movies come out in a year, the more people have drowned in a swimming pool . Are more people drowning in a pool because more Cage movies have come out? Or would more Cage movies have come out, because more people are drowning in a Suriname B2B List swimming pool? Or is it the most likely answer to this question: it is simply a coincidence? Illustrative image: girl with a bathing cap and goggles. The exclusion of coincidence is almost impossible to achieve. But it helps you a long way to, in addition to obtaining a statistically sound study, well reasoning why a connection might exist. 3. Form one story from several conclusions Every data scientist or analyst would like the data to provide an objective and complete picture of reality.
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Thus, two studies on the same hypothesis may draw different conclusions. That does not mean that one of the two is directly ‘wrong’. Often this means (assuming both investigations are legitimate) that both investigations bring out some of the truth . Descriptive analytics and correlation analyzes look at the data in a different way than machine learning models. And these models also view the data in different ways. This may therefore lead to different insights, but it is the joint conclusions from these various studies that together form the best result. To draw the best conclusions from multiple studies, it is important to compare the studies and see how they ultimately make one story together. 4. Don’t have a fear of numbers In today’s world we are inundated with numbers. If you don’t consider yourself data-savvy, this can lead to misunderstanding and even fear of numbers.