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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.
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What is non-directional research hypothesis?
A non-directional research hypothesis is a kind of hypothesis that is used in testing statistical significance. It states that there is no difference between variables.
What is the major difference between the null and alternative hypothesis?
In research, a null hypothesis means that no results will be found. An alternative hypothesis means that results will be found.
In testing for differences between the means of two related populations the null hypothesis is?
That there is no difference between the means for the two populations.
Differences between null and alternative hypothesis?
The difference between the null hypothesis and the alternative hypothesis are on the sense of the tests. In statistical inference, the null hypothesis should be in a positive sense such in a sense, you are testing a hypothesis you are probably sure of. In other words, the null hypothesis must be the hypothesis you are almost sure of. Just an important note, that when you are doing a tests, you are testing if a certain event probably occurs at certain level of significance. The alternative hypothesis is the opposite one.
How does the difference between fe and fo influence the outcome of a chi-square test?
The larger the difference, the larger the value of chi-square and the greater the likelihood of rejecting the null hypothesis
