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No, because it is a statement with a history, if it is wrong it is superseded by a new hypothesis.
What else can I help you with?
Why do theories or hypothesis change in science?
As more and more data is collected and evaluated on a topic, scientists' theories or hypothesis may change based on the new information.
Why should you change your hypothesis?
You should change your hypothesis if the results from your experiments do not match what your hypothesis predicted. For instance, you make a hypothesis that a feather will fall at the same speed of a bowling ball. You drop both at the same time a number of times. You see that every time the bowling ball falls at a faster speed than the feather. You would have to change your hypothesis since it doesn't match your results. Your new hypothesis would be that a feather falls at a slower rate than a bowling ball.
True or false If your experiment does not support your hypothesis you should change your data to give support to the hypothesis?
False- The hypothesis is your prediction of what you expect to happen. If the data does not agree with your hypothesis you simply explain why your hypothesis did not come true and possibly investigate variable which would allow your hypothesis to come true.
When might you need to change your hypothesis?
You won't need to. Your hypothesis is just your prediction or educated guess. It's okay to be wrong.
If you purposely change the temperature to test a hypothesis the temperature is called the?
If you purposely change the temperature to test a hypothesis, the temperature is called the independent variable. This is the variable that you manipulate to observe its effect on the dependent variable, which is the outcome you measure in the experiment.
How do you revise a hypothesis?
you change the hypothesis.
What do scientist do when their data does not support their hypothesis?
Discard or change the hypothesis.
What happens when the data doesn't support the hypothesis?
Change or abandon your hypothesis.
What exactly will be change in hypothesis?
the solution
What options does a scientist have if experiment does not support hypothesis?
a scientist can do another experiment or change their hypothesis.
Explain null hypothesis versus alternative hypothesis?
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.
What would a scientists next steps be if his or her data failed to support his or her hypothesis?
Discard or change the hypothesis
What would a scientist next steps be if his or her data failed to support his or her hypothesis?
Discard or change the hypothesis
Why do theories or hypothesis change in science?
As more and more data is collected and evaluated on a topic, scientists' theories or hypothesis may change based on the new information.
Why should you change your hypothesis?
You should change your hypothesis if the results from your experiments do not match what your hypothesis predicted. For instance, you make a hypothesis that a feather will fall at the same speed of a bowling ball. You drop both at the same time a number of times. You see that every time the bowling ball falls at a faster speed than the feather. You would have to change your hypothesis since it doesn't match your results. Your new hypothesis would be that a feather falls at a slower rate than a bowling ball.
What is a variable that change to test a hypothesis?
The independent variable.
What hypothesis states that there is no change no difference or no finding?
null
