What is the definition of mean?

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SUMMARY

The mean, denoted as μ, is defined as the expected value of a random variable in a normal distribution. It is mathematically represented by the integral of x multiplied by the density function f(x) over the entire range of the distribution, specifically from negative infinity to positive infinity. This relationship confirms that the mean is the central point around which the values of the distribution are balanced. Understanding this concept is crucial for statistical analysis and probability theory.

PREREQUISITES
  • Basic understanding of probability theory
  • Familiarity with normal distribution concepts
  • Knowledge of integral calculus
  • Understanding of density functions
NEXT STEPS
  • Study the properties of normal distribution in detail
  • Learn about the calculation of expected values in probability
  • Explore integral calculus applications in statistics
  • Investigate the role of standard deviation in data distribution
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Statisticians, data analysts, mathematics students, and anyone interested in understanding statistical measures and their applications in data analysis.

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suppose that f(x) is the density function of a normal distribution with mean u and standard deviation sigma. show that u= intergral from -infinity->+infinity xf(x)dx
 
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Again, what is the definition of "mean"?
 

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