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The article "A Probabilistic Model of Fracture in Concrete and Size Effects on Fracture Toughness" (Magazine of Concrete Res., 1996: 311-320) gives arguments for why fracture toughness in concrete specimens should have a Weibull distribution and presents several histograms of data that appear well fit by superimposed Weibull curves. Consider the following sample of size n = 18 observations on toughness for highstrength concrete (consistent with one of the histograms); values of pi = (i - .5)y18 are also given.
Test the hypothesis that the annual incomes of corporate trainers in areas of more than 500,000 are significantly more than those in areas of less than 100,000.
many people who bought x-game gaming systems over the holidays have complained that the systems they purchased were
in 2006 merck released a vaccine named gardasil for hpv - the most common cause of cervical cancer among young women.
the maintenance manager at a chemical facility knows that the days between repairs for a specic chemical reactor
an article suggests that a poisson process can be used to represent the occurrence of structural loads over time.
In how many ways can they be arranged if the first letter must be an S and the last letter must be an E?
Darnell lives in an area where labor is plentiful and locations for start-ups are relatively cheap. He is also confident that he can find start-up funds for a graphic arts business. As he evaluates the opportunity for his proposed venture, wh..
Is there a significant difference in the proportions of patients reporting pain relief? Run the test at a 5% level of significance.
as we have noted in previous chapters even a very small effect can be significant if the if the sample is large enough.
The six differences (treatment minus control) had the mean = -0.326 and s = 0.181. Is there significant evidence of a difference between treatment and control?
Many different kinds of data can be modeled or measured easily using exponential and logarithmic functions. For example, consider ideal gases:
What is the probability Linda Lahey, company president, received exactly 1 email between 4 P.M. and 5 P.M. yesterday? What is the probability she received 5 or more email during the same period?
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