inference
inference
They both give information
Important standards for comparing observations include consistency, validity, and reliability. Consistency ensures that observations are repeatable under similar conditions, while validity confirms that the observations accurately measure what they intend to. Reliability refers to the stability of results over time and across different contexts. Together, these standards help ensure that comparisons are meaningful and scientifically sound.
* prediction * extrapolation
inference
inference
Based on previous research in similar conditions, it is predicted that the experiment will produce results that support the hypothesis. However, unexpected variables could influence the outcome, so the prediction is not definitive.
Convergent evolution
convergent evolution bro.
The policy cycle
They both give information
Important standards for comparing observations include consistency, validity, and reliability. Consistency ensures that observations are repeatable under similar conditions, while validity confirms that the observations accurately measure what they intend to. Reliability refers to the stability of results over time and across different contexts. Together, these standards help ensure that comparisons are meaningful and scientifically sound.
An inference is a conclusion based on information given.A prediction is an educated guess of what will happen next without any knowledge of the actual results.Example: An experiment is designed to test if hot water will dissolve more salt than cold water.PREDICTION: 'Hot water will dissolve more salt than cold water'. (This is what you PREDICT before the experiment is done.)INFERENCE: 'Hot water dissolved more salt than cold water because.......'. (This is what you INFER after the experiment is done).
An educated guess about the weather
One way to determine efficiency is to compare the results with similar cases: * How efficient a person is compared to other people doing similar work * How efficient a process is compared to similar processes Another way is to determine what the minimum steps are required and how long each step should take. Then compare the actual results with the theoretical results.
* prediction * extrapolation