It will provide information to help formulate a new hypothesis in the future.(:
True because the point of the hypothesis test is to figure out the probability of the null hypothesis being true or false. If it is tested and it is true, then you do not reject but you reject it, when it is false.
averaging percentage changes produce an inaccurate measure of the true rate of return because it does not consider compounding
The hypothesis in research is an idea or concept that may be true. Through proper experimentation, a hypothesis can become a fact. So, in research, you test a hypothesis to see if it is true. You will see that the null hypothesis, from the related link, is what you are testing against. Perhaps you have a new medicine, and you want to know if it improves the health of a patient. Your null hypothesis is that this treatment does not cause any improvement.
We do not make a clear separation between "proven true" and "proven false" in hypothesis testing. Hypothesis testing in statistical analysis is used to help to make conclusions based on collected data. We always have two hypothesis and must chose between them. The first step is to decide on the null and alternative hypothesis. We also must provide an alpha value, also called a level of significance. Our null hypothesis, or status quo hypothesis is what we might conclude without any data. For example, we believe that Coke and Pepsi tastes the same. Then we do a survey, and many more people prefer Pepsi. So our alternative hypothesis is people prefer Pepsi over Coke. But our sample size is very small, so we are concerned about being wrong. From our data and level of significance, we find that we can not reject the null hypothesis, so we must conclude that Coke and Pepsi taste the same. The options in hypothesis testing are: Null hypothesis rejected, so we accept the alternative or Null hypothesis not rejected, so we accept the null hypothesis. In the taste test, we could always do a larger survey to see if the results change. Please see related links.
To reject null hypothesis, because there is a very low probability (below the significance level) that the observed values would have been observed if the hypothesis were true.
No. A hypothesis is an educated guess, based on observation. Usually, a hypothesis can be supported or refuted through experimentation or more observation. A hypothesis can be disproven, but not proven to be true.
Hypothesis are theories which are yet to be proven. They are proven when they are proved to be true as in experiments.
false
well it all depends on what your hypotthesis is but some can be proven true ,or some can be proven false. But it all depends on what you are doing
A falsifiable hypothesis is a hypothesis that must be set up so that it is possible to be proven false.
a educated guess about a ubject that is proven true
a educated guess about a ubject that is proven true
A hypothesis is what someone suggests could be true, and then tests it to see whether or not it is true. A law is what has been proven to be true.
Diagram
theorem
False.
No, a "hypothesis" is a geuss. In an expirement, a scientist will come up with a hypothesis, and then see if it is true. Therefore, a hypothesis is NOT set in stone until proven.