[Answer] Which of the following describe the standard normal​ distribution?

Answer: - The graph is symmetric.- The total area under the curve must equal 1.- It is a normal distribution with a mean of 0 and a standard deviation of 1.

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Which of the following describe the standard normal​ distribution? Which of the following does NOT describe the standard normal distribution ? Choose the correct answer below. A. The total area under the curve must equal 1. B. It is a normal distribution with a mean of 0 and a standard deviation of 1. C. The graph is uniform. D. The graph is symmetric. which of the following does not describe the standard normal distribution ?-the graph is uniform-the graph is symmetric-the total are under the curve must equal 1-it is a normal distribution with a mean of 0 and a standard deviation of 1 It also makes life easier because we only need one table ( the Standard Normal Distribution Table) rather than doing calculations individually for each value of mean and standard deviation. In More Detail. Here is the Standard Normal Distribution with percentages for every half of a standard deviation and cumulative percentages: Normal Distribution Defining and Describing the Normal Distribution - dummies Defining and Describing the Normal Distribution - dummies The Normal Distribution has: Normal Distribution The normal distribution probability is specific type of continuous probability distribution . A normal distribution variable can take random values on the whole real line and the probability that the variable belongs to any certain interval is obtained by using its density function.For the non-technical readers a density is a function that allows to compute probabilities via integration on ... Standard Normal Distribution Table. This is the "bell-shaped" curve of the Standard Normal Distribution. It is a Normal Distribution with mean 0 and standard deviation 1. It shows you the percent of population: between 0 and Z (option "0 to Z") less than Z (option "...

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