2. Based on the results of your experiment, would you reject or accept each hypothesis that you produced in question 1? Explain how you determined this.
Huh?
To determine whether to reject or accept each hypothesis based on the experiment results, you need to compare the observed data with the expected outcomes predicted by the hypotheses. Here's how you can determine whether to reject or accept each hypothesis:
1. Start by restating each hypothesis from question 1. For example:
- Hypothesis 1: Increasing the amount of sunlight will result in faster plant growth.
- Hypothesis 2: Adding fertilizer will increase the yield of crops.
2. Analyze the data collected during the experiment and compare it with the expected outcomes of each hypothesis.
- For Hypothesis 1: Increasing the amount of sunlight will result in faster plant growth.
- Evaluate the growth rate of plants exposed to varying amounts of sunlight. Measure the height, number of leaves, or any other relevant growth metric.
- Compare the growth of plants exposed to different sunlight conditions. If the plants under higher sunlight conditions show significantly faster growth compared to those under lower sunlight conditions, you would have evidence supporting Hypothesis 1. In this case, you would accept the hypothesis.
- However, if there is no significant difference in growth rates between plants in different sunlight conditions, or if the result contradicts the prediction of Hypothesis 1, you would reject the hypothesis.
- For Hypothesis 2: Adding fertilizer will increase the yield of crops.
- Compare the crop yields from plots treated with fertilizer to those without fertilizer.
- If the fertilized plots demonstrate significantly higher crop yields compared to the non-fertilized plots, you would have evidence supporting Hypothesis 2. In this case, you would accept the hypothesis.
- On the other hand, if there is no significant difference in crop yields between the fertilized and non-fertilized plots, or if the result contradicts the prediction of Hypothesis 2, you would reject the hypothesis.
3. Finally, based on the comparison between the observed data and the expectations of each hypothesis, you can decide whether to accept or reject each hypothesis.
Remember, the acceptance or rejection of a hypothesis is based on the evidence observed in the experiment. It is important to consider the statistical significance of the data and conduct any necessary statistical tests to support your conclusion.