Study his hypothesis
test
conclusion
because scientist cant observe well if they didnt have any good observation skills
Scientists do multiple trials and find the mean of the trials to make their results reliable-this eliminates the impact any anomalies may have.
The best way for a scientist to investigate how often a plant needs water is to conduct an experiment. This experiment should consist of the following steps: Choose a plant species to study. Select a sample size of plants that are of similar size and health. Keep all plants in the same environment and give them the same care (i.e. sunlight nutrients etc.) Divide the plants into two groups. Give one group water every day and the other group water every other day. Observe the plants in each group over a given period of time (i.e. one month). Record any visible changes. Compare the results of the two groups. Record any differences in the health of the plants.By conducting an experiment such as this a scientist can gain insight into how often a plant needs to be watered in order to thrive. This can be useful information for anyone who is looking to grow plants in their own home or garden.
test
conclusion
yes
The collection of a specimen is helpful for any scientist doing an experiment as it will provide them with an organism that they can use to conduct various tests and calculations on.
Your hypothesis is the guess you make as to what will happen. A scientist has that idea in mind when he or she makes the experiment to test that hypothesis. They may be right or they may be wrong, but they always have an idea of what's going to happen because that's why they do the experiment in the first place.
A scientist can help a colleague do a better experiment by offering guidance on experimental design, providing feedback on methodology, and suggesting ways to improve data analysis and interpretation. Additionally, they can share their expertise and experience to troubleshoot any issues that may arise during the experiment.
Yes, any science experiment needs a control, or else you don't have a baseline from which to base your understanding of the rest of your data.
Test
A scientist can help a colleague do better on an experiment by providing guidance on experimental design, offering feedback on methodology, sharing resources or expertise, and engaging in discussions to troubleshoot any issues that may arise during the experiment. Collaboration and open communication are key in supporting a colleague to improve their experimental outcomes.
Any basic experiment has a control and a variable. The control remains unchanged with no experiments. It is left to exist in it's normal state. The variable is the test subject. This is what you use when you experiment. Once you have both a control and a variable, you keep a daily log or journal to monitor any progress or failure. Good journals/logs are kept from start to finish and explain every detail of the experiment from start to finish. A good scientist also writes a post log to record any ideas they may want to remember for future use or experimentation. (i.e. What I would do different next time)
Any basic experiment has a control and a variable. The control remains unchanged with no experiments. It is left to exist in it's normal state. The variable is the test subject. This is what you use when you experiment. Once you have both a control and a variable, you keep a daily log or journal to monitor any progress or failure. Good journals/logs are kept from start to finish and explain every detail of the experiment from start to finish. A good scientist also writes a post log to record any ideas they may want to remember for future use or experimentation. (i.e. What I would do different next time)
Starting the experiment without clearly defining the research question and objectives would not be an appropriate first step. It's crucial to have a clear understanding of what you want to investigate and achieve before conducting any experiment.