e a 45. The article "Response of SiG/Si;N, Composites Under Static and Cyclic Loading-An Experimen- tal and Statistical Analysis" (J. of Engr. Materials and Technology, 1997: 186–193) suggests that ten- sile strength (MPa) of composites under specified conditions can be modeled by a Weibull distribu- ac- pt- at in tion with a =9 and o= 180. a. Sketch a graph of the density function. b. What proportion of specimens of this strength values exceeding 175? c. What proportion of specimens of this type have strength values between 150 and 175? d. What strength value separates the weakest 10% of all specimens from the remaining 90%? type have P t

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How do I derive a beta parameter from this?

2.5% have values
exceeding b?
ve a
45. The article "Response of SiG/Si,N, Composites
Under Static and Cyclic Loading-An Experimen-
tal and Statistical Analysis" (J. of Engr. Materials
and Technology, 1997: 186-193) suggests that ten-
sile strength (MPa) of composites under specified
conditions can be modeled by a Weibull distribu-
nac-
ept-
hat
in
tion with a =9 and o= 180.
a. Sketch a graph of the density function.
b. What proportion of specimens of this type have
strength values exceeding 175?
c. What proportion of specimens of this type have
strength values between 150 and 175?
d. What strength value separates the weakest 10%
of all specimens from the remaining 90%?
am
ed
er-
nt
с.
1,
Transcribed Image Text:2.5% have values exceeding b? ve a 45. The article "Response of SiG/Si,N, Composites Under Static and Cyclic Loading-An Experimen- tal and Statistical Analysis" (J. of Engr. Materials and Technology, 1997: 186-193) suggests that ten- sile strength (MPa) of composites under specified conditions can be modeled by a Weibull distribu- nac- ept- hat in tion with a =9 and o= 180. a. Sketch a graph of the density function. b. What proportion of specimens of this type have strength values exceeding 175? c. What proportion of specimens of this type have strength values between 150 and 175? d. What strength value separates the weakest 10% of all specimens from the remaining 90%? am ed er- nt с. 1,
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