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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.
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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.
What is an alternative hypothesis?
with the alternative hypothesis the reasearcher is predicting
What is Hypothesis H0 and H1?
H0 is the null hypothesis and h1 is the alternative hypothesis
Explain null hypothesis versus alternative hypothesis?
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.
Does the Null hypothesis always include an equality?
Yes; the null hypothesis, H0, always includes an equality. The alternative hypothesis, H1, is >, <, or does not equal.
