well because if you dont report honestly someone else may make the same product or item you did and they speak honestly and they get the credit and the more money than you! ;(
and i knew this because im not lazy and actually open my textbook you lazies out there!
I'm honestly not sure what your instructor expects there. The name of that procedure is the "streak test", but that doesn't quite fit in the sentence.
Not necessarily. Let's say that we're testing a new medicine to treat heart disease. We wish to compare it against the current standard of care, so we might have what we call a "research hypothesis" stated as a question with a specific, measurable goal: Does the new medicine reduce mortality when compared to current medicine?" We could just as easily say "improve symptoms" as "reduce mortality", its all about what the new medicine is expected to do. In statistical terms, there's a different approach stated as a null hypothesis, which is not a question but a simple statement that there is no difference between the new and current drugs, something like "There is no difference in mortality between new drug and old drug." We then perform statistical tests to see if a difference is present - if we can't find a difference, we conclude the drug is truly no different. If we DO see a difference, we then reject the null hypothesis in favor of an alternate hypothesis that there IS a difference.
cuz then you could be at risk for skin cancer and you will get dark!
it is important because it is an infected cell and your body cant neutralize it. but, it trys and lowers defences against deasies. also sickle cell can spread
genet wanted to recruit american privateers to help france fight against britain
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Test your hypothesis against the data
A hypothesis can be supported by checking it against your research to see if it is true, checking it against research done by others, and testing your hypothesis rapidity.
Test your hypothesis against the available data
A statistical hypothesis is anything that can be tested against observations. So the hypothesis can be that you can remember two numbers.
A theory is a hypothesis which has been tested (against "reality").
Liberation hypothesis is hypothesis impliying that when the strength of the evidence against a defendant is weak, jurors are free to rely on nonlegal information to inform their decision.
At the same level of significance and against the same alternative hypothesis, the two tests are equivalent.
To support a hypothesis means you agree, and may even give supporting evidence.To refute it means you submit evidence that a hypothesis is incorrect , or you make a cogent and persuasive argument against it.
The null hypothesis cannot be accepted. Statistical tests only check whether differences in means are probably due to chance differences in sampling (the reason variance is so important). So if the p-value obtained by the data is larger than the significance level against which you are testing, we only fail to reject the null. If the p-value is lower than the significance level, the null hypothesis is rejected in favor of the alternative hypothesis.
Does it fit all the known facts AND can it be tested against reality.
A concept (hypothesis) that has been "thoughly" tested (against reality).