Normal distribution curve area?

In summary, the normal distribution curve, also known as the Gaussian curve, is a bell-shaped curve that represents the distribution of a continuous variable. It is symmetrical and centered around the mean, with the majority of data falling within one standard deviation of the mean. The area under the normal distribution curve is calculated using integration techniques and represents the probability of a random variable falling within a certain range of values. It is used in statistics to calculate probabilities, make inferences about a population, and for hypothesis testing and confidence interval calculations. The empirical rule for the normal distribution states that approximately 68% of data falls within one standard deviation of the mean, 95% falls within two standard deviations, and 99.7% falls within three standard
  • #1
Scott S
22
0
Is there a relatively simple algorithm to compute the area in percentage under the curve as represented by a sigma value?
For example;
3 sigma = 99.7
2 sigma = 95
1 sigma = 68.3
Now suppose I wanted to know 2.5 sigma without a table.
 
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  • #2
Wolfram Alpha, MMA, Matlab, and other programs are pretty good at definite integrals.
 
  • #3
No, there isn't. The standard normal distribution probability that "z< a" is [itex]\frac{1}{\sqrt{2\pi}}\int_{-\inf}^a e^{-\frac{x^2}{2}} dx[/itex]. That cannot be integrated in terms of elementary functions so either do a numerical integration or use a table (which was developed by numerical integrations).
 

Related to Normal distribution curve area?

1. What is the normal distribution curve?

The normal distribution curve, also known as the Gaussian curve, is a bell-shaped curve that represents the distribution of a continuous variable. It is symmetrical and centered around the mean, with the majority of data falling within one standard deviation of the mean.

2. How is the area under the normal distribution curve calculated?

The area under the normal distribution curve is calculated using integration techniques. It is a continuous probability distribution, so the total area under the curve is equal to 1.

3. What does the area under the normal distribution curve represent?

The area under the normal distribution curve represents the probability of a random variable falling within a certain range of values. For example, the area under the curve between two points represents the probability of the variable falling within that range.

4. How is the area under the normal distribution curve used in statistics?

The area under the normal distribution curve is used in statistics to calculate probabilities and make inferences about a population. It is also used in hypothesis testing and confidence interval calculations.

5. What is the empirical rule for the normal distribution curve?

The empirical rule states that for a normal distribution, approximately 68% of data falls within one standard deviation of the mean, 95% falls within two standard deviations, and 99.7% falls within three standard deviations of the mean.

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