The authors of the article ‘a probabilistic insulation life model for combined thermal-electrical stresses" (ieee trans. onelect. insulation, 1985: 519—522) state that "the weibull distribution is widely used in statistical problems relating to agingof solid insulating materials subjected to aging and stress." they propose the use of the distribution as a model for time (inhours) to failure of solid insulating specimens subjected to ac voltage. the values of the parameters depend on thevoltage and temperature; suppose a and b = 200(values suggested by data in the article).a. what is the probability that a specimen's lifetime is at most 250? less than 250? more than 300? b. what is the probability that a specimen's lifetime is between 100 and 250? c. what value is such that exactly 50% of all specimens have lifetimes exceeding that value?

do i do it on a graph?

step-by-step explanation:

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it can be to see completed examples before writing, in order to examine what makes for an effective piece. see how these intros give some context before posing the topic and lead naturally into the body paragraphs, where the evidence will be listed. you can imagine how the author has organized the rest of the piece.

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step-by-step explanation: