Final answer:
To determine if the data supports or refutes the hypothesis, analyze variable changes and whether evidence collected agrees with predictions. Supported hypotheses are more likely to be valid, though not conclusively proven; results that do not match predictions may lead to refuting the hypothesis.
Step-by-step explanation:
Drawing Conclusions from Experiment Results
To determine whether the data from the first part of the experiment supports or refutes the first hypothesis, we need to analyze the changes in the variables. When conduction an experiment, scientists collect, measure, and analyze the results to see if they align with what was predicted. If the evidence collected agrees with the prediction, it supports the hypothesis although it does not conclusively prove it to be true. In order to draw a conclusion, we would compare the number of deformed frogs in a non-polluted pond to what was expected under the hypothesis.
If the data shows a significant deviation from the predicted values, we may need to refute the hypothesis and consider alternative explanations. Conversely, if the observed data matches the predictions, we would likely conclude that the hypothesis is supported. However, it is crucial to remember that a single experiment's results are not definitive proof and additional testing is typically required to further validate a hypothesis.
Finally, we would state our decision and conclusion clearly, considering that while supportive evidence increases the likely validity of a hypothesis, it is not absolute confirmation.