Refer to Q 6. The probability of a player weighing less than 250 pounds is 0.4772 0.9772 0.0528 0.5

The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 25 pounds.The probability of a player weighing more than 241.25 pounds is Group of answer choices0.04950.95050.90100.4505

The following probabilities are based on data collected from U.S. adults during the National Health Interview Survey 2005–2007. Individuals are placed into a weight category based on weight, height, gender and age.Underweight Healthy Weight Overweight (Not Obese) ObeseProbability 0.019 0.377 0.35 0.254Based on this data, what is the probability that a randomly selected U.S. adult weighs more than the healthy weight range?

At a high school, the probability that a student is a senior is 0.25. The probability that a student plays a sport is 0.20. The probability that a student is a senior and plays a sport is 0.08.What is the probability that a randomly selected student plays a sport, given that the student is a senior?A.0.32B.0.17C.0.08D.0.25

The mean weight of 1000 students at a certain college is 62 kg, and the standard deviation is 5kg. Assuming that the weights are normally distributed, find the probability that a randomly selected student weighs between 55 and 60kg.a.0.3446b.0.0808c.0.2638d.0.7362

The following probabilities are based on data collected from U.S. adults during the National Health Interview Survey 2005–2007. Individuals are placed into a weight category based on weight, height, gender and age.Underweight Healthy Weight Overweight (Not Obese) ObeseProbability 0.019 0.377 0.35 0.254Based on this data, what is the probability that a randomly selected U.S. adult weighs more than the healthy weight range? 0.0889 0.35 0.254 0.604Question 5Select one answer.10 pointsLet A and B be two disjoint events such that P(A) = 0.20 and P(B) = 0.60.What is P(A and B)? 0 0.12 0.68 0.80Question 6Select one answer.10 pointsIn 2012, researchers working with a very large population of health records found that 9.3% of all Americans had diabetes (source: National Diabetes Statistics Report, 2014). Suppose a medical researcher randomly selects two individuals from a large population.Let A represent the event “the first individual has diabetes.”Let B represent the event “the second individual has diabetes.”True or false? A and B are independent events. True FalseQuestion 7Select one answer.10 pointsAn engineering school reports that 55% of its students were male (M), 40% of its students were between the ages of 18 and 20 (A), and that 25% were both male and between the ages of 18 and 20.What is the probability of a random student being male or between the ages of 18 and 20? 0.22 0.25 0.70 0.95Question 8Select one answer.10 pointsAccording to the information that comes with a certain prescription drug, when taking this drug, there is a 20% chance of experiencing nausea (N) and a 50% chance of experiencing decreased sexual drive (D). The information also states that there is a 15% chance of experiencing both side effects.What is the probability of experiencing neither of the side effects? 0.10 0.40 0.45 0.70 0.85Question 9Select one answer.10 pointsAn engineering school reports that 55% of its students were male (M), 40% of its students were between the ages of 18 and 20 (A), and that 25% were both male and between the ages of 18 and 20.What is the probability of a random student being female between the ages of 18 and 20? Assume P(F) = P(not M). 0.15 0.16 0.30 0.40Question 10Select one answer.10 pointsIn a certain liberal arts college with about 10,000 students, 40% are males. If two students from this college are selected at random, what is the probability that they are both males? 0 0.16 0.80 0.64 0.25