Gaussian Distribution Question.

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Discussion Overview

The discussion revolves around a problem related to the Gaussian distribution, specifically calculating probabilities for various intervals given a standard deviation and a recorded value. The scope includes mathematical reasoning and application of statistical concepts.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Homework-related

Main Points Raised

  • One participant notes the standard deviation is 15 and the recorded value is 385.0, raising questions about the probability calculations for specified intervals.
  • Another participant suggests that the problem would make more sense if 385.0 were considered the population mean.
  • There is confusion regarding the origin of the value 0.399 in the book's solution, with one participant proposing that it might relate to using a midpoint for the interval in calculations.
  • Some participants discuss the use of the integral equation for calculating probabilities, questioning why it is suggested only for certain intervals.
  • One participant calculates the z-score for the interval 385.0-385.1 and suggests that similar calculations could apply to other intervals, leading to a question about whether intervals a and b would yield the same probability.
  • Another participant confirms the calculation method for the z-score and notes that the starting point of the intervals affects the results.

Areas of Agreement / Disagreement

Participants express uncertainty about the calculations and the application of the Gaussian distribution, with no consensus on the correct approach or the reasoning behind the book's answers.

Contextual Notes

Participants mention the lack of detailed explanations in the textbook regarding the Gaussian distribution, which may contribute to the confusion in solving the problem.

Xyius
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I am studying the Gaussian distribution and am doing one of the problems for practice. The problem states that the standard deviation is equal to 15 and the actual value recorded in the experiment is 385.0. It then asks what is the probability that a single measurement lies in the range of the following..
a.) 385.0-385.1
b.) 400.0-400.1
c.) 451.0-415.1
d.) 370.0-400.0
e.) 355.0-415.0
f.) 340.0-430.0

The following equations are to be used, based on the Gaussian distribution.
[PLAIN]http://img62.imageshack.us/img62/8594/what2c.gif
I couldn't get the same answer as the book. This is the books work for a.)
[PLAIN]http://img585.imageshack.us/img585/1271/whati.gif

There is no explanation as to where 0.399 came from, and the section on Gaussian distribution is very short (As this isn't a statistics course). It says for problems d e and f use the integral equation. Why can't I use the integral equation for all of them? Can anyone help?
 
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Xyius said:
the actual value recorded in the experiment is 385.0.
The problem would make sense if it said that 385.0 was the actual population mean.


There is no explanation as to where 0.399 came from

Taking z= \frac{(385.1 - 385.0)}{15} and substituting this in the expression \frac{1}{\sqrt{2 \pi} } e^{\frac{-z^2}{2}} is probably where it came from. Or they might have used 385.05 as being more representative of the interval from 385 to 385.1 than the endpoint 385.1.

and the section on Gaussian distribution is very short (As this isn't a statistics course). It says for problems d e and f use the integral equation. Why can't I use the integral equation for all of them

I think you could use the integral expression for all of them if you have numerical table of that integral.
 
Stephen Tashi said:
Taking z= \frac{(385.1 - 385.0)}{15} and substituting this in the expression \frac{1}{\sqrt{2 \pi} } e^{\frac{-z^2}{2}} is probably where it came from. Or they might have used 385.05 as being more representative of the interval from 385 to 385.1 than the endpoint 385.1.

Yup that was it! But what confuses me is, wouldn't that mean that a and b have the same answer? Since the differences are all 0.1? The book as the the answer to b as, 0.0161.
 
The z for a value v is calculated by (v - 385.0)/15. It just happens that in a) the interval begins at 385. In the other examples, the intervals don't begin there.
 
Ohh! Thank you very much! I understand now :]
 

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