When an investigator wants to test whether a particular parameter is larger than a specific value, the null and alternative hypothesis are best defined as:
Define a hypothesis, describe the steps of hypothesis testing, interpret and discuss the choice of the null and alternative hypothesis, and distinguish between one-tailed and two tailed tests of hypotheses.
A positive “hoped for” condition means that we will only reject the null (and accept the alternative) if the evidence indicates that the population parameter is greater than θ0. Thus, H0: θ ≤ θ0versus Ha: θ > θ0 is the correct statement of the null and alternative hypotheses.