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A nail manufacturer guarantees that not more than one nail in a box of 100 nails is defective. If,in fact, the probability of each individual nail being defective is p = 0.005, compute the probability that:
(a) The next box of nails violates the guarantee. Use the Poisson approximation, after assuming independence.
(b) The guarantee is violated at least once in the next 25 boxes.
A brief discussion of the extent to which the provided data and/or your chosen method of analysis are appropriate and/or sufficient to test the biological hypothesis.
The chance the late flight is full is 0.7. The chance both flights are full is 0.6. Can we believe the two flights being full are independent events?
given the following information alternative hypothesis p lt 0.70 n 300 x 205 alpha 0.02. state your decision and
The probability that a house in an urban area will be burglarized is 5%. If 50 houses are randomly selected, what is the probability that one of the houses will be burglarized?
consider a carton of twelve eggs of which three are rotten. suppose we randomly select five eggs. compute the
in one particular race there are 7 people 3 of which are runners of the track coach. the race is so competitive that
suppose a simple random sample of size 43 is selected from a population with sigma 8. find the value of the standard
State the hypotheses for a right-tailed test. Obtain a test statistic and p-value assuming unequal variances. Why might the sample data not follow a normal, bell-shaped curve? If not, how might this affect your conclusions?
Three couples attend a dinner. Each of the six people chooses randomly a seat at a round table. What is the probability that no couple sits together?
assume that the lives of all such bulb (approximately) normally distribution. Make the 99% confidence intervals for the variance and standard deviation of the lives of all such bulbs.
A new president at Big State University has made student satisfaction with the enrollment and registrations process one of her highest priorities.
The uniform distribution over the interval 7.5 to 10.5 gallons per minute. Find the probability that between 8.0 gallons and 9.0 gallons are pumped during a randomly selected minute.
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