MS. Sue here is exactly what the paper says-
think back to the experiment you just designed to test the Best Wheels Bike Shop's new super titanium wheel bearings. Can you be sure that your results are due to the new bearings and not something else? That depends on how you controlled the experiments variables.
He physically did not do this experiment which leads me to believe this is just a statement for the kids to answer these questions.
1- what was the independent variable in your experiment? And was there more than one?
2- what was the dependent variable in your experiment?
3- what factors other than the wheel bearings affected the dependent variable?
4- Was there a control?
I have no clue what to answer, I am not asking for help on all these questions but 1 & 2- I think the independent variable is the wheel bearings but not sure if that is right and the dependent variable could be weather?
The Control is something you kept the same. There is not enough information for me to say what exactly what it is. For example, if you used the same wheel bearings the entire time that would be the control.
use the diagram to find the measures of each inicated angle. <dec
To determine the answers to these questions, we need to analyze the design of the experiment. Since you mentioned that the experiment was not actually conducted, we will have to make some assumptions based on common practices in experimental design.
1. The independent variable is the factor that is intentionally manipulated or changed in an experiment. In this case, the experiment involves testing the Best Wheels Bike Shop's new super titanium wheel bearings. Therefore, the independent variable is likely to be the type of wheel bearings used. Specifically, it would involve comparing the performance of the new super titanium wheel bearings to another type of wheel bearings, such as standard bearings or a different material.
2. The dependent variable is the variable that is being measured or observed as a result of changes made to the independent variable. In this experiment, since the focus is on testing the new wheel bearings, the dependent variable would typically be related to the performance of the bike or the wheel bearings themselves. For example, it could be the speed at which the bike can travel, the smoothness of the ride, or the durability of the wheel bearings.
3. Other factors, known as confounding variables, can impact the dependent variable and potentially influence the results of the experiment. It's important to control these variables to ensure that any effects observed are truly due to the independent variable. In this case, factors such as weather conditions, slope of the terrain, tire quality, or the rider's skill level could potentially affect the dependent variable (performance of the bike or wheel bearings). To control for such factors, the experiment could be conducted under controlled conditions, such as in a closed track, with standardized tires, and with skilled riders.
4. The presence of a control group is crucial in an experiment. A control group is a group that does not receive the treatment or manipulation of the independent variable. Its purpose is to provide a baseline for comparison to the experimental group(s). In this case, to establish whether the new wheel bearings are truly superior, a control group could be using the standard wheel bearings that the shop currently offers. By comparing the performance of the new bearings to the control group, it can be determined if the observed effects are indeed due to the new wheel bearings or some other factor.
It's worth noting that without the specific details of the experiment, these answers are based on assumptions and general principles of experimental design.