T-level Core A A9.1-9.12 Scientific Methodology

What is the primary purpose of experimental design and planning?

• To ensure the experiment is completed quickly

• To manage time, resources, safety, ethics, and errors

• To make the experiment more complex

• To avoid using any resources

Why is it important to define a hypothesis in experimental design?

• To make the experiment more interesting

• To avoid using controls

• To define outcomes that can be tested and clarify objectives

• To ensure the experiment is expensive

What does critical path analysis help with in experimental design?

• Mapping out key tasks and dependencies

• Increasing the budget to an appropriate size

• Reducing the number of variables to focus on key components

• Avoiding the negative impact(s) of controls variables

How can customer requirements affect scientific methodology?

• By defining timescales and setting a budget

• By making the experiment more complex

• By reducing the number of replicates

• By avoiding ethical considerations

What is a primary source in scientific literature?

• An interpretation of information from a secondary source

• Direct access to the original information, like journal articles

• A commentary from a researcher

• A summary of various articles

What is the purpose of ISO standards in scientific settings?

• To reduce the number of tests required

• To demonstrate competency and facilitate international cooperation

• To make experiments more expensive

• To avoid using any standards

What is the importance of reliable and accurate recording in experiments?

• To avoid using controls

• To reduce the number of variables

• To make the experiment more complex

• To ensure data is repeatable and reflects true results

What is the role of financial forecasting in experimental design?

• To define what is feasible for a given budget

• To increase the complexity of the experiment

• To reduce the number of variables

• To avoid using controls

How can sampling techniques avoid bias?

• By ensuring a large enough sample size

• By reducing the number of replicates

• By avoiding ethical considerations

• By making the experiment more complex

What is the purpose of risk management in experimental design?

• To reduce the number of variables

• To increase the complexity of the experiment

• To assess and manage risks for the workforce

• To avoid using controls