Empirical rule calculator command

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Discussion Overview

The discussion revolves around the application of the empirical rule in statistics, specifically regarding how to determine the range of values that contain a certain percentage of data in a normal distribution. Participants explore the use of calculator commands for this purpose and provide examples related to IQ scores.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant inquires about whether to use the binompdf or normalcdf command on a TI-83 calculator for a problem related to the empirical rule.
  • Another participant explains the empirical rule, detailing the percentages of data that fall within one, two, and three standard deviations from the mean, and provides mathematical notation for these ranges.
  • A participant confirms their understanding by calculating the range of values for a specific mean and standard deviation, suggesting that the range is between 75 and 112 based on their calculations.
  • A later reply reiterates the calculation for IQ scores, providing specific ranges for 68%, 95%, and 99.7% of scores based on the empirical rule.

Areas of Agreement / Disagreement

Participants generally agree on the application of the empirical rule and its implications for normally distributed data, but there is no explicit consensus on the use of specific calculator commands.

Contextual Notes

The discussion does not resolve the choice between binompdf and normalcdf commands, and assumptions regarding the distribution of data are not explicitly stated.

Who May Find This Useful

Students and individuals interested in statistics, particularly those learning about the empirical rule and its applications in data analysis.

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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