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  1. Oct 23, 2020 · Formula of the normal curve. 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.

  2. Jan 21, 2021 · There are many programs available that will calculate the probability for a normal curve including Excel and the TI-83/84. There are also online sites available. The following examples show how to do the calculation on the TI-83/84 and with R.

  3. Common for natural phenomena: height, weight, etc. Most noise in the world is Normal. Often results from the sum of many random variables. Sample means are distributed normally. Actually log-normal.

  4. To solve: for p ≥ .5, find the probability value in Table I, and report the corresponding value for Z. For p < .5, compute 1 - p, find the corresponding Z value, and report the negative of

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  5. The real importance of this lecture is to show you what a normal curve looks like (it looks like a “bell curve”), to show you that area under the curve can be used to determine probability, and to make you appreciate that the z-score formula saves you a lot of tedious algebra rules!

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  6. Figure below presents graphs of f(x;; μ, σ) for several different (μ, σ) pairs. Two different normal density curves. Visualizing μ and σ for a normal distribution. The normal distribution with parameter values μ = 0 and σ = 1 is called the standard normal distribution.

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  8. For example, the probability of selecting a score greater than z = 2 is about 0.025 as the area above this interval is about 2.5%. Notice the symmetry of the standard normal curve with respect to positive and negative. z scores and the corresponding areas.

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