Geometric and binomial probability #3 and #4 According to a 2019 Kaiser Family Foundation analysis, it is estimated that approximately 27%of U.S. adults under the age of 65 (about 54 million) have pre-existing health conditions thatwould likely have made them uninsurable in the individual markets that existed in most statesbefore the Affordable Care Act.Suppose we randomly select U.S. adults under 65.1. What is the probability that the tenth adult selected is the first adult with a pre-existinghealth condition?2. If we randomly select a group of 20 adults for a study on health care, what is theprobability that we select 12 of them with a pre-existing health condition? Sketch orpaste the binomial distribution for this scenario.3. If we randomly select a group of 50 adults for a different study, what is the probabilitythat we select at least half of them with a pre-existing health condition?4. According to the US census, there are approximately 29,305 adults under the age of 65 in Sacramento. How many ofthose adults do we expect to have a pre-existing health condition that will make them uninsurable?

Name: Geometric and binomial probability #3 and #4 According to a 2019 Kaise
Uploaded: 2024-03-20T07:06:41.000Z
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Description: Geometric and binomial probability #3 and #4 According to a 2019 Kaiser Family Foundation analysis, it is estimated that approximately 27%of U.S. adults under the age of 65 (about 54 million) have pre-existing health conditions thatwould likely have