Identification of a null and alternative hypothesis is used in statistical hypothesis testing. I've included two links which will show you how to formulate these hypothesis.
The source of the null hypothesis is considered the "status quo" or what would be assumed without data. Perhaps, you buy 20 light bulbs which average 2500 hours of service, and 14 of these burn out after 2400 hours of service. Your null hypothesis is that the light bulbs will last 2500 hours or more, while the null hypothesis is that they will burn out on the average in less than 2500 hours.
Hypothesis in application of the scientific method is entirely another matter. Please see related links.
Chat with our AI personalities
with the alternative hypothesis the reasearcher is predicting
Be able to reject the null hypothesis and accept the research hypothesis
H0 is the null hypothesis and h1 is the alternative hypothesis
To prove the hypothesis. To disprove the hypothesis.
It is when you know that your hypothesis is wrong.