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For simplicity, let us assume that there are two kinds of drivers. The safe drivers, who are 70% of the population, have probability .1 of causing an accident in a year. The rest of the population are accident makers, who have probability .5 of causing an accident in a year. The insurance premium is $400 times one's probability of causing an accident in the following year. A new subscriber has an accident during the first year. What should be his insurance premium for the next year?
Psychometric Properties of the Test
you are given1 fund x accumulates at an interest rate of 8 compounded quarterly2 fund y accumulates at an interest rate
to devise effective marketing strategies it is helpful to know the characteristics of your customers. a study compared
Give an example representing a discrete probability distribution and another example representing a continuous probability distribution. Explain why your choices are discrete and continuous.
Tests it and then puts it to one side. this is repeated 5 times. What is the probabilty that none of the five tested were faulty?
collect cumulative data for all u.s. major carriers for the time period of january 2006 through december 2012. the data
How many treatments are there? What is the total sample size? Is there a significant difference at the 5% Level of significance? Would I accept or reject the null Hypothesis.
The Stonebridge Tire Co. manufactures passenger car tires. The manufacturing process results in either first-quality tires, blemished tires, or defective tires. The proportions of the tires manufactured that fall in the three categories are .88, ..
Now suppose he says that if he is optimistic about the success of one project, he is likely to be optimistic about the others as well. For your simulation, this means that if one of the probabilities increases, the others also are likely to increa..
By using the results in (a), construct a boxplot. Indicate clearly on the boxplot the five-number summary. Are the data skewed? If so, describe its skewness.
Can the difference in output be ascribed solely to chance?
What is the probability that more than 88 cartons arrive in at least 5 of the next 6 months given normal distribution with mean of 80 cartons per month and standard deviation of 7 cartons per month?
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