How much of a normal distribution falls within 1 standard deviation from the mean?

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Multiple Choice

How much of a normal distribution falls within 1 standard deviation from the mean?

Explanation:
In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean. This characteristic of the normal distribution is part of the empirical rule, also known as the 68-95-99.7 rule. The rule states that: - About 68% of the data lies within one standard deviation (σ) from the mean (μ). - About 95% of the data is found within two standard deviations. - About 99.7% of the data lies within three standard deviations. Thus, when considering the range of values represented by one standard deviation on either side of the mean, it accounts for roughly 68% of the total data set, highlighting the concentration of data around the mean in a normal distribution. This is fundamental in understanding statistical properties and is widely applicable in various fields involving data analysis.

In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean. This characteristic of the normal distribution is part of the empirical rule, also known as the 68-95-99.7 rule. The rule states that:

  • About 68% of the data lies within one standard deviation (σ) from the mean (μ).
  • About 95% of the data is found within two standard deviations.

  • About 99.7% of the data lies within three standard deviations.

Thus, when considering the range of values represented by one standard deviation on either side of the mean, it accounts for roughly 68% of the total data set, highlighting the concentration of data around the mean in a normal distribution. This is fundamental in understanding statistical properties and is widely applicable in various fields involving data analysis.

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