It can be rejected if there is no control variable.
It's important so people can understand what has happened in the experiment, a conclusion is a formal way of basically saying what happened.
A controlled experiment is one in which a control group is closely monitored. In this way, the experiment can be much more accurate as more factors are accounted for.
use a graph or a chart
One of the best ways to illustrate observations in a experiment is to draw them as 2D diagrams Hope i Helped:)
Trial and error is when someone tries something and it doesn't work (the error) so they try again (a new trial) and again until they get the experiment right or get the results they want.Scientists usually think through all possible options, to minimize error. If the results don't come up even with any way of checking, then they know something is wrong. It is highly unlikely, and usually doesn't happen. The more important the experiment, the more time the scientist will spend calculating, and recalculating the possible ways the experiment can occur, or have problems.
Every new (and approved) technology leads to another one. This way, scientists get a lot of advantages by using them on their experiments.
Because it helps them know the results of the objects in the experiment and how they differ. This way the scientist knows which succeeded and which failed.
Scientists test hypotheses using the scientific method. First, there is a question posed about a phenomenon. Then, the hypothesis is created about what the scientist thinks will happen when it is tested. Next, the scientist will create an experiment that will answer the question. With this, the scientist gathers materials and performs the experiment they designed. The experiment should include a control group (one that does not have anything changed), that way you can see the difference between variables. The scientist can only change one variable at a time. As the scientist is conducting the experiment, they should be logging at the results. Once the experiment is done, they should look at the data and see what it proves. Does it prove the hypothesis? Does it go against the hypothesis? Next, scientists generally see how they can apply the results to real life. This goes a little bit beyond your question, but an understanding of the scientific method is important to understanding how hypotheses are tested.
It's important so people can understand what has happened in the experiment, a conclusion is a formal way of basically saying what happened.
Repitition is one common way to verify the results of scientific experiment. In many cases, other scientists in the same field will attempt to duplicate a published experiment and can detect fraudulent or questionable results if they are unable to reproduce similar results after a number of tries. On the other hand, successful duplication will usually verify the original experimenter's conclusions.
That depends on what you're trying to find out. Its the manipulated variable that the scientist(you) use to compare to "normal" results. Say you're doing an experiment. You have to grow two plants, but you decide you want to find out what happens to the plant if you give it soda instead of regular water. You would get two plants and you would grow them in the same exact way except that in that experiment, you would give one soda instead of water. The variable is the one thing you changed.
they are important because they show information in an easier way then writing. you could out on a line graph results of a experiment/or lots more things
graphs
graphs
What_type_of_experiment_is_one_way_to_test_a_hypothses
A controlled experiment is one in which a control group is closely monitored. In this way, the experiment can be much more accurate as more factors are accounted for.
A survey collects data through questionnaires or interviews to gather information on opinions, behaviors, or characteristics of a population. An experiment involves manipulating variables to observe the effect on an outcome, testing causal relationships between variables. Surveys are observational, while experiments involve intervention and control groups.