What are the different types of data distributions?
There are several types of data distributions, including normal, binomial, Poisson, and uniform distributions. Would you like to know more about a specific one?
Can you explain the normal distribution?
Sure! The normal distribution, also known as the Gaussian distribution, is a continuous probability distribution characterized by its bell-shaped curve. It is defined by its mean and standard deviation.
What are some real-world examples of normal distribution?
Common examples include heights of people, test scores, and measurement errors. In these cases, most values cluster around the mean.
What about the binomial distribution?
The binomial distribution models the number of successes in a fixed number of independent Bernoulli trials, like flipping a coin. It’s defined by two parameters: the number of trials and the probability of success.
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