Skew is a common way that a distribution can differ from a normal distribution. You generally have three choices if your statistical procedure requires a normal distribution and your data is skewed: Do nothing. Many statistical tests, including t tests, ANOVAs, and linear regressions, aren't very sensitive to skewed data. Especially if the
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The normal distribution, also known as the Gaussian distribution or bell curve, is a probability distribution that is commonly used in statistics and probability theory. It is a continuous probability distribution that is symmetric, bell-shaped, and defined by two parameters: the mean (μ) and the standard deviation (σ).
What is Normal Distribution? Data that is Normally Distributed ; HOW TO FIND A CAREER IN DATA SCIENCE: The Expert Guide to become a 6 Figure Data Scientist in 12 months.
The world of machine learning and data science revolves around the concepts of probability distributions and the core of the probability distribution concept is focused on Normal distributions A log-normal distribution is a continuous distribution of random variable y whose natural logarithm is normally distributed. For example, if random variable y = exp {y} has log-normal distribution then x = log (y) has normal distribution. Log-normal distributions are most often used in finance to model stock prices, index values, asset returns, as well as exchange rates, derivatives, etc. A normal distribution is a type of continuous probability distribution in which most data points cluster toward the middle of the range, while the rest taper off symmetrically toward either extreme. The middle of the range is also known as the mean of the distribution. The normal distribution is also known as a Gaussian distribution or 33Y2T. 325 402 497 174 238 44 377 288 4

what is normal distribution in data science