Want this question answered?
A Hypothesis is a scientific statement that can be tested. It is used as a guide for an experiment.
Usually the current 'answer' to a scientific problem would be called a theory. However when used in an experiment people refer to the current answer to a problem as the nul hypothesis and the new, to be tested, theory as the alternative hypothesis.
B. A hypothesis can never be proven. It can be supported, unsupported, or partially supported by the experimental evidence. The experimental data resulting from a tested hypothesis can be used to formulate a new hypothesis.
Many times these are things that cannot be controlled. Some factors may be temperature, time of day, and the materials that are used.
A hypothesis is any idea used to explain and test a scientific idea. To find if it is true, you need to test it, which you do by running some testing, and it may then be proven.
A Hypothesis is a scientific statement that can be tested. It is used as a guide for an experiment.
A Hypothesis is a scientific statement that can be tested. It is used as a guide for an experiment.
A Hypothesis is a scientific statement that can be tested. It is used as a guide for an experiment.
hypothesis
Usually the current 'answer' to a scientific problem would be called a theory. However when used in an experiment people refer to the current answer to a problem as the nul hypothesis and the new, to be tested, theory as the alternative hypothesis.
The hypothesis ithink
The hypothesis ithink
verifiable/provable, hypothesis
Yes, the Atkins diet has been scientifically tested. It is shown to be a low carb diet, which can be dangerous because if used for extended time periods it can actually affect ones brain.
A hypothesis can suggest an explanation for an observed phenomenon that can later be tested through experimentation
A hypothesis can suggest an explanation for an observed phenomenon that can later be tested through experimentation
A statistical model is fitted to the data. The extent to which the model describes the data can be tested using standard tests - including non-parametric ones. If the model is a good fit then it can be used to make predictions.A hypothesis is tested using a statistic which will be different under the hypothesis being tested and its alternative(s). The procedure is to find the probability distribution of the test statistic under the assumption that the hypothesis being tested is true and then to determine the probability of observing a value at least as extreme as that actually observed.