Final answer:
The appropriate type of hypothesis test for H0: μ ≥ x, Ha: μ < x is a one-tailed hypothesis test, specifically a left-tailed test because the alternative hypothesis indicates a mean less than the hypothesized value.
Step-by-step explanation:
The type of hypothesis test in the question where H0: μ ≥ x, Ha: μ < x is a one-tailed hypothesis test. Specifically, it is a left-tailed test because the alternative hypothesis Ha suggests that the mean is less than the hypothesized value x.
To further explain, in hypothesis testing:
- Null hypothesis (H0): This is a statement of no effect or no difference and is assumed to be true until evidence indicates otherwise.
- Alternative hypothesis (Ha): This is what you are trying to demonstrate, it posits that there is an effect or a difference.
- A one-tailed test is used when the alternative hypothesis is directional, indicating that the parameter of interest is either greater than or less than a certain value, but not both.
- A two-tailed test is used when the alternative hypothesis suggests the parameter is simply not equal to the hypothesized value, regardless of direction.
For example, if you believe a bottle of water contains less than the labeled amount, you would use a left-tailed test. However, if you are testing whether the mean is not equal to a certain value (neither greater nor lesser specifically), you would use a two-tailed test.