How do you know when to reject or accept alternative hypothesis?
If the P-value is less than (or equal to) , then the null hypothesis is rejected in favor of the alternative hypothesis. And, if the P-value is greater than , then the null hypothesis is not rejected.
Why cant you say you accept the alternative hypothesis?
As for the alternative hypothesis, it may be appropriate to say “the alternative hypothesis was not supported” but you should avoid saying “the alternative hypothesis was rejected.” Once again, this is because your study is designed to reject the null hypothesis, not to reject the alternative hypothesis.
What is the alternative hypothesis for the test of significance?
The test of significance showed that the difference between the sample mean and the population mean is statistically significant. A two-sided alternative hypothesis is used when there is no reason to believe that the sample mean can only be higher or lower than a given value.
Can a hypothesis be rejected at the significance level?
Alternatively, if the significance level is above the cut-off value, we fail to reject the null hypothesis and cannot accept the alternative hypothesis. You should note that you cannot accept the null hypothesis, but only find evidence against it.
When to reject the null hypothesis or the alternative hypothesis?
Therefore, we reject the null hypothesis, and accept the alternative hypothesis. However, if the p -value is below your threshold of significance (typically p < 0.05), you can reject the null hypothesis, but this does not mean that there is a 95% probability that the alternative hypothesis is true.
Which is the abbreviation for the alternative hypothesis?
This hypothesis is denoted by either Ha or by H1 . The alternative hypothesis is what we are attempting to demonstrate in an indirect way by the use of our hypothesis test. If the null hypothesis is rejected, then we accept the alternative hypothesis.
Can a statistically significant result prove the null hypothesis?
This means we retain the null hypothesis and reject the alternative hypothesis. You should note that you cannot accept the null hypothesis, we can only reject the null or fail to reject it. A statistically significant result cannot prove that a research hypothesis is correct (as this implies 100% certainty).