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What if your hypothesis is correct?
Your hypothesis is supported by the data. You cannot prove a hypothesis because somebody may do some other experiments and disprove it eventually. You can only disprove a hypothesis or indicate that it is supported by the data.
If you have 5 football matches with 3 outcomes win lose or draw how many different combinations are there?
3 + 3 + 3 + 3 + 3 = 15 total possible outcomes. You can 'prove' this by laying out a table of possibles where a user might tick the result of each game..... Match....1....2....3....4....5 Win......._...._...._...._...._ Lose......_...._...._...._...._ Draw....._...._...._...._...._
Can research be undertaken without developing a hypothesis?
Yes, Research can be undertaken without framing a hypothesis. The justification is in case of explanatory research, where the aim of your research is not to prove or disprove something, but to undertake an in depth study and go on exploring the investigation !!!!
When should i reject a null hypothesis?
When we state that the data analysis suggests that we "Reject the null hypothesis" we are stating that the sample statistic is sufficiently different from our assumed value of the population that it is unlikely to be explained by chance. If we use for example, that under the null hypothesis that engineers make on the average $120,000 per year. If we consider that the test statistic (size n) is normally distributed, we can use a two-tail test with an level of significance "alpha" to identify the lower and upper rejection zones on the normal distributon. If the test statistic falls in the non-rejection zone, we state that the "null hypothesis is not rejected." There are many good websites on hypothesis testing. Wikipedia provides a good summary of controversy on hypothesis testing. I note that some of the controversy stems from the idea that hypothesis testing will prove or validate population parameters, which is really beyond the scope of hypothesis testing theory. http://en.wikipedia.org/wiki/Statistical_hypothesis_testing A second way to determine whether the null hypotheis is to calculate p-values. For this, please see: http://en.wikipedia.org/wiki/P-value
Does a strong positive correlation prove causation?
A strong positive correlation does not prove causation. People only get sunburned during daylight hours. Sundials only work during daylight hours. Therefore sundials cause sunburns. The above sentences show how absurd such predicate thinking could be. Simply because two events usually occur at the same time does not mean they are related. One man found a perfect correlation between the price of whiskey and Chicago school teachers' salaries. No possible relationship could possibly exist except the rate of prosperity and inflation. Causation is difficult to prove.
What can experiments prove?
An experiment can prove or disprove a hypothesis.
What does it take to prove a hypothesis false?
It needs one counter example.Facts.
Is it possible to prove a hypothesis by conducting rigorously controlled experiments?
Rigorously controlled experiments can provide evidence to support or refute a hypothesis, but they cannot definitively prove a hypothesis. Scientific hypotheses are continually evaluated, refined, and occasionally rejected based on new evidence and further experimentation.
Why can a hypothesis never be proven?
It can be proven, you have to do at least 3 experiments to prove your hypothesis.
How is a hypothesis is tested?
conducting experiment
Explain in detail the three possible outcomes that may result from this research?
The question is very poorly specified so this answer is simply a wild guess at what the questioner might want. Three possible outcomes of any research, designed to test some hypothesis, are: (a) evidence in support of the hypothesis; (b) evidence disproving the hypothesis; or (c) evidence that can neither prove (support) nor disprove the hypothesis.
What is meant by saying that a hypothesis is must be testable?
A 'testable' hypothesis is one in which you are able to conduct experiments in able to prove right or wrong.
1 Imagine that you are a scientist Propose a hypothesis that you would like to prove and outline the experiments you think would prove your theory?
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What if your hypothesis is correct?
Your hypothesis is supported by the data. You cannot prove a hypothesis because somebody may do some other experiments and disprove it eventually. You can only disprove a hypothesis or indicate that it is supported by the data.
Why is planning experiments important to study?
Only when experiments are planed, carried out and analyzed can we know if our hypothesis is true and our methods are reliable. Oncethis is achieved, repeating experiments prove validity.
How did the scientific revolution change they in which scientist did their work?
Scientists were expected to conduct experiments to prove / disprove their hypothesis and theories.
What do scientists perform after making a hypotheses?
They set out to test a hypothesis by using experiments and controls. They then adjust the experiments and run the tests again until they either prove or disprove it.
