Elias conducted an experiment about the effects of exercise on the heart rate of teenagers. Before morning basketball practice,
he asked the members of his high school team to be his subjects. He measured each of their heart rates before and after a set of exercises. Which change would most reduce the bias of his experimental design?
Choosing students from the basketball team for the sample he uses on a study of heart rates and exercise will be a biased sample. This is because students on the basketball team are potentially healthier than other students, which means that exercise will not have a large an effect on their heart rate as it would if they were not as healthy and not as physically fit.
In order to reduce the amount of bias, he should choose students from different groups throughout the school.
Well obviously he would need to make sure that the exercise is very well controlled. But I think the most important aspect he needs to change is the people. Firstly, the subjects are all boys. They are also all obviously already quite fit (because they are in a sports team), and they are all around the same age. Results could vary if the sex, fitness and age of people also differs. It is therefore important to record results from a wide range of people.
The answer is <span>the number of DNA mutations in an organism is measured over time to determine how long it will take for a new species to evolve.</span>
Answer: The dead plants form the organic part of the soil. This is because when plants die off they become dirt and mulch which is good for the plants. This is why people make a big deal out of compost. It is because it is healthy and organic for plants.
