Yes
In statistics, we have to test the hypothesis i.e., null hypothesis and alternative hypothesis. In testing, most of the time we reject the null hypothesis, then using this power function result, then tell what is the probability to reject null hypothesis...
Typically, no. While a researcher might anticipate a particular result, the hypothesis is only that - what the expected result might be (and often, there may be several possible expected results or even none.)
You can calculate a result that is somehow related to the mean, based on the data available. Provided that you can work out its distribution under the null hypothesis against appropriate alternatives, you have a test statistic.
To hypothesize means to propose a testable explanation or educated guess based on limited evidence as a starting point for further investigation. Predicting involves forecasting an outcome or result based on existing knowledge, patterns, or hypotheses. While a hypothesis is a statement to be tested, a prediction is often the expected result derived from that hypothesis. Both are essential in the scientific method for exploring and understanding phenomena.
The power of a statistical test is defined as being a probability that a test will product a result that is significantly different. It can be defined as equaling the probability of rejecting the null hypothesis.
By conducting your experiment, the result of that experiment either agrees with your hypothesis or disagrees your hypothesis.
Revise or discard your hypothesis.
An unexpected result in an experiment can challenge or invalidate the original hypothesis, prompting a reevaluation of the underlying assumptions. It may indicate that the hypothesis is incorrect or that there are additional factors at play that were not considered. This outcome can lead to further investigation, refinement of the hypothesis, or the development of new theories to explain the observed data. Ultimately, unexpected results are crucial for the advancement of scientific knowledge, as they encourage critical thinking and exploration.
This indicates that the hypothesis is probably incorrect and a new hypothesis needs to be developed. A negative result for a scientific experiment is just as important as a positive result and means that the experiment was a success.
A result is if your hypothesis was whether right or wrong and then explain it.
The hypothesis is an educated guess, it should not affect the investigation at all, it is merely a summized thought based on known evidence and a prediction of a possible outcome. A scientist however does not use that Hypothesis to get a result, they merely see if the result lines up with the Hypothesis. A quick example is you see a movie billboard, it has squirrels on it fighting, you can hypothesize the movie is about squirrels fighting. Now if you go see the movie and it has no squirrels at all, your hypothesis is wrong.... You can not go to the movie, see no squirrels, then squint your eyes really tight till the animals that are in the movie look like squirrels fighting, just to say your hypothesis was right. It should have no impact on the results of scientific study... it is merely an educated guess at a possible outcome of the tests.
coefficients that measure the efficiency of predation - for the prey, it is the proportion of encounters that result in the death of a prey individual; for the predator, it is the proportion of encounters that result in the death of a prey individual multiplied by the proportion of a new predator individual contributed by a prey individual.
To predict what do you think your result will be for your experiment.
When testings a hypothesis, statistics can be used to calculate the chances or probability of getting a result
In statistics, we have to test the hypothesis i.e., null hypothesis and alternative hypothesis. In testing, most of the time we reject the null hypothesis, then using this power function result, then tell what is the probability to reject null hypothesis...
hypothesis
draw conclusions