You are supposed to assume/expect that nothing happens, or the norm happens. E.g. if you are testing if plants grow more in light, you assume they dont, then see if that expectation is consistent with the result.
To test his hypothesis
Double-check your procedure and your lab technique. If they're still not what you predicted after eliminating any potential sources of error, then evidently you've learned that your initial premises were wrong, and you'll have to reject your hypothesis since you've proven that it's false.
So other scientists can test it out to confirm results. Theres no definite answer in science that's why its not provable, As fore falsible, idk what that means.
A well tested idea that explains and connects a wide range of observations is a scientific theory. This is sometimes confused with a scientific law.
Miller and Urey set out to test a part of Oparin's hypothesis on the origin of life.
You want to have a hypothesis to test. A hypothesis is kind of like a reasoned guess what you expect to happen. The results of your experiment will either support your hypothesis or it wont.
Do your hypothesis, wrote down your results, and see if your right
Depending on the results of that test, either accept or reject that hypothesis.
Results from a test. What you learned from the test/what you found, what was tested, hypothesis, etc.
No. An hypothesis is an idea put forward to explain an observation. Often you do the experiment to test the hypothesis. The results of the experiment may help you decide whether to discard your hypothesis or to test it further.
After analyzing test results, the experimenter should draw conclusions based on the data, determine whether the results support the hypothesis, and consider the implications of the findings. It is important to communicate the results clearly and accurately in a report or presentation to share the outcomes of the experiment with others.
A chi-square test is often used as a "goodness-of-fit" test. You have a null hypothesis under which you expect some results. You carry out observations and get a set of results. The expected and observed results are used to calculate the chi-square statistic. This statistic is used to test how well the observations match the values expected under the null hypothesis. In other words, how good the fit between observed and expected values is.
So you know whether it is valid or not. If it isn't modify your hypothesis to fit the results of your experiments.
You would test your hypothesis by predicting what the results of your experiment will be so it's like a type of prediction. Another way is what do you think the outcome will be.
Using the data in the Excel file Consumer Transporta
ask the question backround research construct hypothesis test with an experiment analize results report results
First you ask a question about what you want to learn, Then you do some research, Next you construct a hypothesis, Then you test the hypothesis by doing an experiment, Next you Analyze your data and draw a conclusion, Communicate your results. And that is the hypothesis.