Until we have sufficient data to say otherwise, we presumptively reject the null hypothesis. There are just two results that can arise from a hypothesis test. You reject the null hypothesis when your p-value is less than or equal to your significance level.
<h3>What is the experiment's null hypothesis?</h3>
The null hypothesis asserts that there is no correlation between the variables of interest. You want to determine if there is a correlation between height and gender. You come up with the hypothesis that men are typically taller than women based on your understanding of human physiology.
<h3>How is a hypothesis test carried out?</h3>
To conduct a hypothesis test, we must first and foremost determine the null hypothesis and the alternative hypothesis. The following gives an example of the null and alternative hypothesis: Step 2: The next thing we must do is determine the relevance level. Its value is typically 0.05 or 0.01
Learn more about null hypothesis:
brainly.com/question/11841529
#SPJ4
