Question

when p - value is greater than alpha we: accept ho accept ho accept h1 reject ho

Explanation:

In hypothesis testing, if the p - value is greater than the significance level (alpha), we fail to reject the null hypothesis ($H_0$). This is a fundamental concept in statistical hypothesis testing. When the p - value is large (greater than alpha), it means that the observed data is not sufficiently extreme to provide strong evidence against the null hypothesis.

Answer:

Accept $H_0$