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A recently installed assembly line has problems with intermittent breakdowns. Recently, it seems that the equipment fails at some point during 15% of the eight-hour shifts that the plant operates. Each day contains three consecutive shifts. State your assumptions. What is the probability that the assembly line
(a) works fine throughout the three shifts on Monday?
(b) works fine on Monday but breaks down during the first shift on Tuesday?
(c) breaks down on a given day?
(d) breaks down during only one shift during a chosen day?
Let X be a continuous random variable with p.d.f fX, and let Y=X^2
With the test statistic you chose, work out the problem with solution using .05 level of significance if it applies.
list the measures of center from the least affected by outliers to the most affected by
the irs randomly selected 2950 tax returns for audit and discovered that 1900 of them had serious errors. the sample is
How many social robots would need to be sampled in order to estimate the proportion of robots designed with legs, no wheels to within .075 of its true value with 99% confidence. Given that a random sample of 106 robots showed that 63 were designed wi..
1. For the period 1998-2008, McDonald's Corporation paid the following dividends (rounded to nearest penny) per share of common stock. Source: McDonald's Corporation, 2005 Annual Report, p. 1; 2008 Annual Report, p. 19.
an entomologist writes an article in a scientific journal which claims that fewer than 20 in ten thousand male
A student decided that this is a binomial distribution problem. The student found that the probability of all four engines failing is 4.1E-09. Is that answer correct?
The point of averages of a scatterplot of Y against X is (14, 1 ). The SD of X is 6, and the SD of Y is 7.
In a local election in which everyone voted, 60 Republicans voted for the Democratic candidate, and 50 Democrats voted for the Republican candidate. If a randomly chosen community member voted for the Republican, what is the probability that she ..
Critical Thinking: Discuss the implications of: magnitude (from 0 to 1); sign ( + or -); and probability versus causality for the Correlation Coefficient (also known as the Pearson Product-Moment Correlation Coefficient).
State the appropriate hypotheses. Obtain a test statistic and p-value. Interpret the results at ? = .01. Is normality assured? Is the difference large enough to be important?
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