Statistics, system reliability, probability, reliability functions, exponential laws, system reliability calculations, analysis
Explore the solutions to various statistics and system reliability exercises, covering topics such as probability, reliability functions, and exponential laws. Delve into the world of system reliability and understand how to calculate and analyze different scenarios.
[...] Exercise 7 1. Cumulative total XiYi 0 ; 40 9 0,13 0,87 -7,38 40 ; 50 20 0,28 0,72 -4,3401 50 ; 60 36 0,507 0,49 -1,4315 60 ; 70 52 0,73 0,27 1,19 70 ; 80 63 0,89 0,11 3,4164 80 ; 90 68 0,96 0,04 5,175 90 ; 100 70 0,99 0,01 6,68 TOTAL 70 3,31 We know that So be F(t1) = = 0,127 We apply this formula for the t's that follow. We know that = 1 - So be R(t1) = 1 - F(t1) = 1-0,13 = 0,87 2. [...]
[...] The reliability function is defined by: = P(T > = for t ? 0. 4. a P(X345) = 1 - P(T ? 345) (0,002)(345) 0,69 = 0,5016 We have 100 x 0.5016 = 50.16; that is 50 components." Exercise S = 1-e-0.9t x e-0.95t x e-0.75t ) x ( 1-e-0.9t x e-0.95t x e-0.75t ) So let S = 1-e-0.9t x e-0.95t x e-0.75t P = ( 1 - ( 1-e-0.9t) x2) x - ( 1-e-0.95t) x2) x - ( 1-e-0.75t) x2) Exercice 4 1. [...]
[...] ? - 0.0266ln. ?=(0.0266 x 3.69) - Ln. ? = (2,098154/0,0266) - Ln. ? = 78,878 - ? = e78,878 3. We refer to the table F(t)=0.89 for 70;80 and F(t)=0.96 for 80;90. We deduce that for F(80)=0.90. Let 80 days. [...]
[...] Statistics and System Reliability Exercise We consider X to be var equal to the color of a randomly selected candy. We observe a sample n=370; with 6 classes of value Brun: B=C1; Yellow: J=C2; Red: R=C3; Orange: O=C4; Green: V=C5; Gold: D=C6 We assign the following respective values: n1=84; n2=79; n3=75; n4=49; n5=36; n6=47 We consider the following hypotheses: HO: X follows the probability distribution described by the responsible person H1: X does not follow the probability distribution described by the responsible person Let R be the var following the HO law, according to the statement we have: P1=0.3; P2=0.2; P3=0.2; P4=0.1; P5=0.1; and P6=0.1 We follow the following commands: Nb=c(84,79,75,49,36,47) Proba=c( 0.1) Chisq.test(nb,p=proba)$p.value We obtain the following result 0.018807 P is between 0.01 and 0.05, so H0 is rejected. [...]
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