Probability Weibull Distribution

Click For Summary
SUMMARY

The discussion focuses on solving for the parameters \(\alpha\) and \(\beta\) of a Weibull distribution given specific probabilities: \(P(X \leq 1) = 0.105\) and \(P(X \geq 2) = 0.641\). The cumulative distribution function (CDF) is defined as \(F(x) = 1 - e^{-(\frac{x}{\beta})^{\alpha}}\). The user attempts to derive equations using natural logarithms but encounters difficulties in isolating the parameters. Clarification is provided on the distinction between the random variable \(X\) and its possible values.

PREREQUISITES
  • Understanding of Weibull distribution parameters (\(\alpha\) and \(\beta\))
  • Knowledge of cumulative distribution functions (CDF)
  • Proficiency in solving logarithmic equations
  • Familiarity with probability notation and concepts
NEXT STEPS
  • Study the derivation of the Weibull distribution parameters from given probabilities
  • Learn how to apply the CDF formula for different values of \(x\)
  • Explore methods for solving systems of equations involving logarithms
  • Investigate applications of the Weibull distribution in reliability engineering
USEFUL FOR

Students in statistics or probability courses, data analysts working with reliability data, and researchers needing to model life data using Weibull distributions.

GreenPrint
Messages
1,186
Reaction score
0

Homework Statement



Suppose that x has a Weibull distribution with parameters [itex]\alpha[/itex] and [itex]\beta[/itex] and that [itex]P(x \leq 1)=.105[/itex] and [itex]P(2 \leq x)=.641[/itex]. What are [itex]\alpha[/itex] and [itex]\beta[/itex]?

Homework Equations



[itex]F(x) = 1 - e^{-(\frac{x}{\beta})^{\alpha}}[/itex]


The Attempt at a Solution



When I try and solve I get

[itex]ln(.641) = -(\frac{1}{\beta})^{\alpha}[/itex]
[itex]ln(.895) = -(\frac{1}{\beta})^{\alpha}[/itex]

This is a problem. I don't see how else to solve this problem.

.105 = F(1) - F(0)
.641 = 1- [F(2) - F(0)]

Thanks for any help.
 
Physics news on Phys.org
GreenPrint said:

Homework Statement



Suppose that x has a Weibull distribution with parameters [itex]\alpha[/itex] and [itex]\beta[/itex] and that [itex]P(x \leq 1)=.105[/itex] and [itex]P(2 \leq x)=.641[/itex]. What are [itex]\alpha[/itex] and [itex]\beta[/itex]?

Homework Equations



[itex]F(x) = 1 - e^{-(\frac{x}{\beta})^{\alpha}}[/itex]


The Attempt at a Solution



When I try and solve I get

[itex]ln(.641) = -(\frac{1}{\beta})^{\alpha}[/itex]
[itex]ln(.895) = -(\frac{1}{\beta})^{\alpha}[/itex]

This is a problem. I don't see how else to solve this problem.

.105 = F(1) - F(0)
.641 = 1- [F(2) - F(0)]

Thanks for any help.

Do you know what F(x) is actually supposed to represent? How would that relate to the given data? In particular, what are the values of x for your given data?

Note: to avoid confusion, make a distinction between X (a random variable) and x (a possible numerical value of X). These are NOT the same. So, your given data are
[tex]P(X \leq 1) = 0.105 \;\text{ and } P(2 \leq X) = P(X \geq 2) = 0.641.[/tex]
 

Similar threads

  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 20 ·
Replies
20
Views
3K
  • · Replies 17 ·
Replies
17
Views
4K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 30 ·
2
Replies
30
Views
2K
Replies
2
Views
3K
  • · Replies 7 ·
Replies
7
Views
1K
Replies
4
Views
2K