Inequalities in Normal Distributions

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SUMMARY

The discussion clarifies the relationship between the probabilities in a standard normal distribution, specifically how P(-11). This equality arises from the symmetry of the normal distribution function, where f(z) = f(-z). The cumulative distribution function F(Z) is used to express probabilities, leading to the conclusion that P(-Z PREREQUISITES

  • Understanding of standard normal distribution and its properties
  • Familiarity with cumulative distribution functions (CDF)
  • Knowledge of probability notation and calculations
  • Basic grasp of symmetry in mathematical functions
NEXT STEPS
  • Study the properties of the standard normal distribution in detail
  • Learn how to use the Normal Distribution Table effectively
  • Explore the concept of cumulative distribution functions (CDF) in various distributions
  • Investigate applications of normal distribution in real-world scenarios
USEFUL FOR

Students studying statistics, educators teaching probability theory, and professionals applying statistical methods in data analysis.

Cpt Qwark
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Homework Statement



How does P(-1<Z<1) equal to 1-2P(Z>1)?
(So you can find the values on the Normal Distribution Table)

Homework Equations

The Attempt at a Solution


I tried P(-1+1<Z+1<1+1) but ended up with P(1<Z+1<2).
 
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The normal distribution function is symmetric, f(z)=f(-z). The table shows the values of Cumulated Distribution Function F(Z) =P(-∞<z <Z). The probability P(Z<z<∞)=1-F(Z). Because of the symmetry, P(Z<z<∞)=P(-∞<z<-Z), F(-Z)=1-F(Z). The probability that the variable z is between -Z and Z is P(-Z&lt;z&lt;Z)=F(Z)-F(-Z) = F(Z)-(1-F(Z)).
 
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Cpt Qwark said:

Homework Statement



How does P(-1<Z<1) equal to 1-2P(Z>1)?
(So you can find the values on the Normal Distribution Table)

Homework Equations

The Attempt at a Solution


I tried P(-1+1<Z+1<1+1) but ended up with P(1<Z+1<2).
The standard normal curve is symmetrical about a mean value μ = 0 like this:

http://www.spiritsd.ca/curr_content/mathb30/data/les6/images/norm_percent.gif​

The normal curve is scaled such that the total area under the curve is 1.

Since you are trying to find P(-1 < Z < 1), don't you see how that's the same probability as 1 - 2P(Z>1)?
 
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