In experiment 1, how did you determine if your outcome was consistent with your prediction? Let’s say that they were inconsistent which each other, what would be your judgment about the hypothesis that you are testing? Don’t forget to consider the assumptions made in your method.

Explanation:

1. Check the outcome obtained practically with the theoretical results. If they are same, then the outcome of the experiment is right. If your experiment is not designed well, you wount arrived at the exact result.

2. Hypothesis is a general statement of how you think the scientific situation in question works. Prediction allows you get specific -- how will you demonstrate that your hypothesis is true? The experiment that you will design is done to test the prediction. The test must be done in almost ideal conditions. The assumptions you have made while performing the experiment conditions should more or less be similar. If conditions arent perfect, you wount achieved a correct results.

An important thing to remember during this stage of the scientific method is that once you develop a hypothesis and a prediction, you shouldn't change it, even if the results of your experiment show that you were wrong.

An incorrect prediction does NOT mean that you "failed." It just means that the experiment brought some new facts to light that maybe you hadn't thought about before. The judges at your science fair will not take points off simply because your results don't match up with your hypothesis.

3. This is a variable that you intentionally change. There are quantities that depend on independent variables. For example, dependent variables-This is the difference between the two parts of the experiment that happens when the independent variable is changed.

answer; according to the ( irs );

answer; ///decision making under risk;