Probability over an interval in a Normal Distribution?

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SUMMARY

The discussion centers on calculating the probability of a normally distributed random variable, specifically the developing time of photographic prints, which has a mean of 16.28 seconds and a standard deviation of 0.12 seconds. The user seeks to find the probability that the developing time falls between 16.00 and 16.50 seconds using the Gaussian Distribution formula. To achieve this, they need to evaluate the area under the Cumulative Distribution Function (CDF) by subtracting the integral of the CDF from negative infinity to 16.00 seconds from that to 16.50 seconds. The user acknowledges the need for assistance in obtaining and evaluating the CDF.

PREREQUISITES
  • Understanding of Normal Distribution and its properties
  • Familiarity with Probability Density Function (PDF) and Cumulative Distribution Function (CDF)
  • Basic knowledge of calculus, specifically integration
  • Ability to interpret statistical tables, particularly the standard normal distribution table
NEXT STEPS
  • Learn how to derive the Cumulative Distribution Function (CDF) for a normal distribution
  • Study the process of evaluating integrals for probability calculations
  • Explore the use of statistical software or tools like R or Python for calculating probabilities in normal distributions
  • Review standard normal distribution tables and how to convert between different means and standard deviations
USEFUL FOR

Students in statistics or calculus, data analysts, and anyone involved in probability calculations related to normal distributions will benefit from this discussion.

adamwitt
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I've been given the question:
In a photographic process, the developing time of prints may be looked upon as
a random variable which is normally distributed with a mean of 16.28 seconds
and a standard deviation of 0.12 second. Find the probability that it will take
anywhere from 16.00 to 16.50 seconds to develop one of the prints.

I *think* I know what I need to do, just don't know how to do it:

So I have the Guassian Distribution formula (with std dev & mean plugged in) as my Probability Density Function.
I need to find the area under the Cumulative Distribution Function over the interval 16 to 16.50.
Because the integrals in CDFs are evaluated from -inf to a, I need to subtract the (integral of CDF from -inf to 16) from the (integral of CDF from -inf to 16.50), and that will be my answer.

But I don't know how to (A) Get the CDF, (B) Evaluate the CDF integral.

Ive tried reading up on the net but I'm not following the theory, can someone please show me how to do this? Thank you!EDIT+=======
Apologies, realized i posted it on the wrong board! feel free to ignore / delete. Please see my post over in the correct homework calculus thread! thank you!
 
Last edited:
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The CDF is usually given in tabular form, since there is no analytic solution. The table (standard normal) will be for mean = 0 and standard deviation = 1. Your data then is for the range -.28/.12 to .22/.12.
 

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