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1) Suppose that 1.9% of a population is infected with a virus. You test a large random sample of members of this population. How many
1) Suppose that 1.9% of a population is infected with a virus. You test a large random sample of members of this population. How many of the people in the sample would you expect to test before finding one that has the virus? Round to one decimal if needed.
2) Suppose that the probability that the life of a battery will exceed 36 months is 0.51. How many batteries do you expect to test before finding one that lasts longer than 36 months? Round to one decimal if needed.
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