Consider a blood test for some virus. 200 persoons received the test and here is the result: 120 persons who are healthy tested negative. 5 persons who are healthy tested positive. 25 persons who have the virus tested negative. 50 persons who have the virus tested positive. Answer the following questions. If it is applicable, please write a complete writing of hypothesis statement, Rcode, output and your findings. What is the false positive rate of this test? What is the false negative rate of this test?

D. Determine if valid or invalid. Using Rules of Inference. 28. If you play golf during a thunderstorm, you’ll get hit by lightning. You didn’t get hit by lightning. Therefore, you didn’t play golf during a thunderstorm.

Medical records show a sample population of 1000 people, of those 1000 people, 98% do not have a terminal illness and 2% do have a terminal illness. A Health Insurance company would like try out a new cheaper test for terminal illness. Their results show that 98% of the people that do have a terminal illness test positive, while 1% of the people who do not have a terminal illness test positive for one.  A corporation known as Ken’s Kids is concerned about patients that are slipping through the cracks with this new medical testing. If the new medical testing is adopted, what % of the people will be misdiagnosed as not having a terminal illness, but really have one? Assuming a population of 200 million people, how many people that have a terminal illness, given this new testing will never know that they do? (Please show all work , and have a legend for symbols).

We can use the Group-Object cmdlet to group the outputs into smaller groups.  We can use the -Property parameter to decide the value of which property to use as the criteria to group. Group of answer choices True False