A tire manufacturer tests whether a set of tires meets the company's performance standards by checking In 60 out of 100 tests, if a Honda CRV can come to a complete stop from 60 mph in fewer than 108 feet. That is, 60% of the time, the stopping distance of the car should be above average for the car (outfitted with generic tires). The factory is wondering if a current run of tires is up to standard, so they choose a random set of tires from the production line to test their performance, and bring the car to a complete stop from 60 mph a total of 100 times. Then they ask: Are these tires faulty? Or are they safe? Which of the following are valid null hypotheses that address the question we are trying to answer, using the data we are given? Which are valid alternative hypotheses? Outfitted with that set of tires, the car: 1. has a 60 mph stopping distance under 108 feet, at least 60% of the time. 2. has a 60 mph stopping distance under 108 feet, at most 60% of the time. 3. has a 60 mph stopping distance under 108 feet, equal to 60% of the time. 4. has at least as short stopping distance to the same car with generic tires, at least 60% of the time. 5. has at least as short stopping distance to the same car with generic tires, at most 60% of the time. 6. has at least as short stopping distance to the same car with generic tires, roughly 60% of the time. 7. is as safe as the car with generic tires. 8. causes the car to stop in a shorter distance. Write a function car_null_hypoth which takes zero arguments and returns a list of the valid null hypotheses. Write a function car_alt_hypoth which takes zero arguments and returns a list of the valid alternative hypotheses. A tire manufacturer tests whether a set of tires meets the company's performance standards by checking In 60 out of 100 tests, if a Honda CRV can come to a complete stop from 60 mph in fewer than 108 feet. That is, 60% of the time, the stopping distance of the car should be above average for the car (outfitted with generic tires). The factory is wondering if a current run of tires is up to standard, so they choose a random set of tires from the production line to test their performance, and bring the car to a complete stop from 60 mph a total of 100 times. Then they ask: Are these tires faulty? Or are they safe? Which of the following are valid null hypotheses that address the question we are trying to answer, using the data we are given? Which are valid alternative hypotheses? Outfitted with that set of tires, the car: 1. has a 60 mph stopping distance under 108 feet, at least 60% of the time. 2. has a 60 mph stopping distance under 108 feet, at most 60% of the time. 3. has a 60 mph stopping distance under 108 feet, equal to 60% of the time. 4. has at least as short stopping distance to the same car with generic tires, at least 60% of the time. 5. has at least as short stopping distance to the same car with generic tires, at most 60% of the time. 6. has at least as short stopping distance to the same car with generic tires, roughly 60% of the time. 7. is as safe as the car with generic tires. 8. causes the car to stop in a shorter distance. Write a function car_null_hypoth which takes zero arguments and returns a list of the valid null hypotheses. Write a function car_alt_hypoth which takes zero arguments and returns a list of the valid alternative hypotheses