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  1. Nov 5, 2020 · The standard normal distribution is a probability distribution, so the area under the curve between two points tells you the probability of variables taking on a range of values. The total area under the curve is 1 or 100%.

  2. Normal Distribution curve. Step 1: Look in the z-table for the given z-score by finding the intersection. For example, if you are asked to find the area between 0 and 0.46, look up 0.46.* The table below illustrates the result for 0.46 (0.4 in the left hand column and 0.06 in the top row. the intersection is .1772).

  3. A standard normal distribution table is utilized to determine the region under the bend (f(z)) to discover the probability of a specified range of distribution. The normal distribution density function f(z) is called the Bell Curve since its shape looks like a bell.

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  4. Sep 28, 2020 · This tutorial explains how to use the z table to answer the following four types of these questions: Find the area under the curve less than some value. Find the area under the curve greater than some value. Find the area under the curve between two values. Find the area under the curve outside of two values.

  5. Oct 23, 2020 · Once you have the mean and standard deviation of a normal distribution, you can fit a normal curve to your data using a probability density function. In a probability density function, the area under the curve tells you probability.

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  6. A normal distribution is the bell-shaped frequency distribution curve of a continuous random variable. Visit BYJU’S to learn its formula, curve, table, standard deviation with solved examples.

  7. The total area under the standard normal distribution curve is equal to 1. That means that it corresponds to probability. You can calculate the probability that your value is lower than any arbitrary X (denoted as P(x < X)) as the area under the graph to the left of the z-score of X.

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