Answer: - The graph is centered around the mean- The graph of the distribution is bell-shaped- The graph of the distribution is symmetric
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Which of the following are descriptors of a normal distribution of a random variable?
Which of the following is NOT a descriptor of a normal distribution of a random variable ?-the graph of the distribution is bell shaped-the graph is centered around the mean-the graph of the distribution is symmetric-the graph is centered around 0
The probability distribution for a random variable describes how the probabilities are distributed over the values of the random variable. For a discrete random variable x the probability distribution is defined by a probability mass function denoted by f (x ). This function provides the probability for each value of the random variable.
In probability theory a normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a type of continuous probability distribution for a real-valued random variable .The general form of its probability density function is = − (−)The parameter is the mean or expectation of the distribution (and also its median and mode); and is its standard deviation.
Which of the following is NOT a descriptor of a normal distribution of a random variable ? Choose the correct answer below. A. The graph of the distribution is bell-shaped. B. The graph is centered around the mean. C. The graph of the distribution is symmetric. D. The graph is centered around 0
Normal distribution - Wikipedia
Normal distribution - Wikipedia
statistics - Random variables and probability ...
Standardizing a normal distribution - Statistics Made Easy
A continuous random variable whose probabilities are described by the normal distribution with mean $\mu$ and standard deviation $\sigma$ is called a normally distributed random variable or a with mean $\mu$ and standard deviation $\sigma$. A norm...
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