Uniform distribution and standard deviation

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Homework Help Overview

The discussion revolves around the properties of uniform distribution and the calculation of standard deviations within that context. Participants are examining the implications of specific values assigned to the parameters of the distribution and how they relate to the standard uniform distribution.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to understand why specific values for a and b (0 and 1) are used in the context of a standard uniform distribution, questioning the assumptions behind these assignments. Other participants suggest that a linear transformation can be applied to rescale to a standard distribution. There are also comments on the algebraic expressions presented, with suggestions for corrections and simplifications.

Discussion Status

Participants are actively engaging with the mathematical expressions and exploring the implications of their algebraic manipulations. Some guidance has been offered regarding the algebra, but there is no explicit consensus on the interpretation of the problem statement or the assignment of values to a and b.

Contextual Notes

There is a noted uncertainty regarding the problem statement and its implications for the values of a and b. Participants are also grappling with algebraic complexities that may affect their understanding of the problem.

r0bHadz
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Homework Statement
4.19:
According to one of the Western Electric rules for quality control, a produced item is considered conforming if its measurement falls within three standard deviations from the target value. Suppose that the process is in control so that the expected value of each measurement equals the target value. What percent of items will be considered conforming, if the distribution of measurements is: Uniform(a,b)?

4.20:
Refer to exercise 4.19, what percent of items falls beyond 1.5 standard deviations from the mean, if the distribution of measurements is Uniform(a,b)?
Relevant Equations
density f(x) = 1/(b-a), a<x<b
μ = (a+b)/2
σ = (b-a)/sqrt(12)
+(3/2) standard deviations from the mean = \frac {a+b}{12} + \frac{\sqrt3}{4} (b-a)
-(3/2) standard deviations from the mean = \frac {a+b}{12} - \frac{\sqrt3}{4} (b-a)

\frac {1}{b-a} \int_a^{\frac {a+b}{12} - \frac{\sqrt3}{4} (b-a)} dx = m_1= \frac {(-11+3\sqrt3)a + (1-3\sqrt3)b}{12(b-a)}

\frac {1}{b-a} \int_{\frac {a+b}{12} + \frac{\sqrt3}{4} (b-a)}^{b} dx = m_2 = \frac {(11-3\sqrt3)b + (-1+3\sqrt3)a}{12(b-a)}

adding m_1+m_2 I get:

\frac{(-12+6\sqrt3)a + (12-6\sqrt3)b}{12(b-a)}

I got up to this point where I quit the problem.

Now if I let b = 1 and a = 0 I get the answer to my problem which is .13397

I understand that this is the standard uniform distribution. But I don't understand what part of the problem statement let's me assign these values to a and b. Nothing in the problem statement tells me that this is not a general distribution, so why does it take values a = 0 and b = 1 to make it standard?
 
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You can always rescale to a standard distribution using a linear transformation.
 
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r0bHadz said:
+(3/2) standard deviations from the mean = \frac {a+b}{12} + \frac{\sqrt3}{4} (b-a)
-(3/2) standard deviations from the mean = \frac {a+b}{12} - \frac{\sqrt3}{4} (b-a)

You shouldn't have ##12## in those two means above, or below.

\frac {1}{b-a} \int_a^{\frac {a+b}{12} - \frac{\sqrt3}{4} (b-a)} dx = m_1= \frac {(-11+3\sqrt3)a + (1-3\sqrt3)b}{12(b-a)}

\frac {1}{b-a} \int_{\frac {a+b}{12} + \frac{\sqrt3}{4} (b-a)}^{b} dx = m_2 = \frac {(11-3\sqrt3)b + (-1+3\sqrt3)a}{12(b-a)}

adding m_1+m_2 I get:

\frac{(-12+6\sqrt3)a + (12-6\sqrt3)b}{12(b-a)}

Factor a minus out of the first term and simplify it.

I got up to this point where I quit the problem.

Now if I let b = 1 and a = 0 I get the answer to my problem which is .13397
Fix the algebra and you will get the same answer.
 
LCKurtz said:
Fix the algebra and you will get the same answer.

ended up fixing it, and got the same answer >.> damn I hate algebra
 

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