Hypothesis.
Positive controls : an experimental treatment that will give the desired result Negative controls: An experimental treatment that will NOT give the dersired result.
Probability determined as part of an experiment is called experimental probability. Probability determined by analysis of all of the possible and expected outcomes is called theoretical probability.
Positive and negative controls are essential in experimental design to validate the results of an experiment. A positive control ensures that the experimental setup can produce a result when the expected outcome occurs, confirming that the methodology is functioning correctly. Conversely, a negative control checks for contamination or false positives by demonstrating that no result should occur under controlled conditions. Together, they help to ensure the reliability and accuracy of the experimental findings.
The result of Long division is called a quotient.
The result of multiplying numbers is called the product.
These are the experimental values.
Prediction
The final step in an experiment is to REACH A CONCLUSION.ANS2:If you don't REPORT YOUR RESULTS, there's no point in having done the experiment.
The "then" part of a hypothesis is the prediction or expected outcome of the experiment based on the manipulation of the independent variable. It describes the specific response or change that is anticipated in the dependent variable as a result of the experimental manipulation.
prediction. :)
My prediction was..... as a result
ERROR is the experimental value-accepted value.
Positive controls : an experimental treatment that will give the desired result Negative controls: An experimental treatment that will NOT give the dersired result.
When your hypothesis is correct, it is called a positive result or a successful outcome. This means that the data and evidence gathered during the experiment or study support your initial prediction or assumption.
To determine if Luke's result supported his prediction, we would need to compare the actual outcomes of his experiment or observations with the expectations he set forth in his hypothesis. If the results aligned with what he predicted, then they would indeed support his prediction. Conversely, if the outcomes differed significantly from his expectations, it would suggest that his prediction was not supported. Without specific details on Luke's prediction and results, it's difficult to provide a definitive answer.
A theory is a widely accepted explanation based on experimental results.
accounting matching principals ( costs and revenue ) is very important to show the correct year result.