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Python Calculate Mean, Skewness & Kurtosis in Python

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 **What Is a Statistical Distribution?** The probability distribution derives from variance. If both you and I flipped 10 coins, it’s pretty likely that we would get different results (you might get 5 heads and I get 7). This variance, a.k.a. uncertainty around the outcome, produces a probability distribution, which basically tells us what outcomes are relatively more likely (such as 5 heads) and which outcomes are relatively less likely (such as 10 heads). So each set of 10 coin flips is like a random variable. We don’t know beforehand exactly how many heads we will get. But if we know its distribution, then we know which outcomes are probable and which are not. And that’s basically what any statistical distribution tells us — it’s a graph that tells us how likely it is to get each of the possible results. Or another way to think about it, it is what the distribution of outcomes would converge to if we ran an experiment with an uncertain outcome over and over again (collecting the...
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One of the most talked about new trending technologies is the Internet of Things (IoT). IoT refers to the interconnectedness of everyday devices, such as smartphones, appliances, and vehicles, through the internet. This technology allows these devices to communicate and share data with each other, enabling new levels of automation and convenience. One of the major benefits of IoT is the ability to collect and analyze data from connected devices. This can lead to more efficient and effective decision making in a wide range of industries, including manufacturing, healthcare, and transportation. IoT technology is also being used to develop smart cities, where a wide range of sensors and devices are connected to create a more efficient and sustainable urban environment. Smart cities use IoT technology to improve transportation, reduce energy consumption, and manage resources more efficiently. Another new trending technology is Edge computing. Edge computing is a distributed computing para...
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