Empirical rule calculator command

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SUMMARY

The discussion centers on the application of the Empirical Rule using the TI-83 calculator to determine data ranges within a normal distribution. The Empirical Rule, also known as the 68-95-99.7 Rule, states that approximately 68% of data falls within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations. For example, with a mean IQ of 100 and a standard deviation of 15, the ranges for 68%, 95%, and 99.7% of IQ scores are 85-115, 70-130, and 55-145, respectively. The discussion clarifies the use of the normalcdf command for these calculations.

PREREQUISITES
  • Understanding of the Empirical Rule and its applications
  • Familiarity with the TI-83 calculator functions
  • Basic knowledge of normal distribution concepts
  • Ability to calculate mean and standard deviation
NEXT STEPS
  • Learn how to use the normalcdf command on the TI-83 calculator
  • Study the mathematical notation for the Empirical Rule: $\mu\pm\sigma$, $\mu\pm2\sigma$, and $\mu\pm3\sigma$
  • Explore real-world applications of the Empirical Rule in statistics
  • Investigate the properties of normal distributions and their significance in data analysis
USEFUL FOR

Students, educators, and data analysts who require a clear understanding of the Empirical Rule and its practical applications in statistics and data interpretation.

aprilryan
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I just had a quick question. One problem says, "about 68% of the data will fall between what values?" Will I use the binompdf or normalcdf command on the TI-83 calculator? I can't remember.

Thanks!
 
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The empirical rule states that for a normal distribution, nearly all of the data will fall within three standard deviations of the mean. The empirical rule can be broken down into three parts:

  • 68% of data falls within the first standard deviation from the mean.
  • 95% fall within two standard deviations.
  • 99.7% fall within three standard deviations.
The rule is also called the 68-95-99 7 Rule or the Three Sigma Rule.

When applying the Empirical Rule to a data set the following conditions are true:

  • Approximately 68% of the data falls within one standard deviation of the mean (or between the mean – one times the standard deviation, and the mean + 1 times the standard deviation). In mathematical notation, this is represented as: $\mu\pm\sigma$
  • Approximately 95% of the data falls within two standard deviations of the mean (or between the mean – 2 times the standard deviation, and the mean + 2 times the standard deviation). The mathematical notation for this is: $\mu\pm2\sigma$
  • Approximately 99.7% of the data falls within three standard deviations of the mean (or between the mean – three times the standard deviation and the mean + three times the standard deviation). The following notation is used to represent this fact: $\mu\pm3\sigma$
 
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Basically I subtract the mean 95-2 and also add 95+2 to get between 75 and 112 right? It's much clearer now thanks! Love the profile pic by the way!
 
aprilryan said:
Basically I subtract the mean 95-2 and also add 95+2 to get between 75 and 112 right? It's much clearer now thanks! Love the profile pic by the way!

If you know the mean and the standard deviation, then the empirical rule can be used to say how much of the data will fall within certain ranges. For example, human IQ scores (which are normally distributed) have a mean of 100 and a standard deviation of 15. Using the empirical rule, we can then say:

  • 68% of IQ scores are in the range 85-115. (100 ± 1·15)
  • 95% of IQ scores are in the range 70-130. (100 ± 2·15)
  • 99.7% of IQ scores are in the range 55-145. (100 ± 3·15)

Oh, and yes...I've been an avid fan of Rush since I was in elementary school...got my first album in 1976. (Rock)
 
I haven't listened to Rush in a long time. Will give them a listen! A math helper who likes Rush is always a plus! Thanks again!
 

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