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What is the relationship between the number of events (causes), number of outcomes, and number of risk scenarios? Suppose you only have a finite amount of time to do an analysis, say to study 128 scenarios. How does increasing the number of possible outcomes (and outcome dimensions) affect the number of causes of harm you can consider? How does increasing the number of causes of harm affect the number of outcomes you can consider? What general rule can you deduce from this thought experiment given you have only a finite amount of time and resources to do an analysis? Why calculate the number of scenarios?
If heads is a success when we flip a coin, getting a six is a success when we roll a die, and getting an ace is a success when we draw a card from an ordinary deck of 52 playing cards, find the mean and the standard deviation of the total number o..
a small town has a population of 20000 people. among these 2000 regularly visit a popular local bar. a sample of 225
1. let yr be the rth smallest among a random sample of size n from uniform 01 population. find the probability density
Carry your intermediate computations to at least four decimal places. Round your answer to one decimal place.
Serum cholesterol levels were taken from a population of 10,000 college students. The results were normally distributed. Males had a mean of 195 and a standard deviation of 10. Females had a mean of 185 and a standard deviation of 12.
there are two traffic lights working independently on your way home. each light is either red r yellow y or green g
Give a 95% confidence interval for the mean bleeding time under pressure for the six persons and draw some conclusion as to whether pressure increases bleeding time.
What is the radius of the smallest circle that can be chosen in order for there to be probability 0.99 that the point ( X, Y) will lie inside the circle?
Find the test statistic and discuss the practical significance of the test.
When traveling, some motorists assume that a restaurant has good food and reasonable prices if there are a lot of trucks parked outside. What other observed characteristics of a restaurant might a traveler use in deciding whether to stop and eat?
Assume that a sampling distribution of sample means has been constructed, based on repeated samples of n = 100 from this population.
At the .01 significance level, is there a difference in the mean number of times men and women order take-out dinners in a month? What is the p-value?
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