Points: 0 of 1 Save The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? \[ \begin{array}{l} H_{0}: \mu=120 \\ H_{1}: \mu \neq 120 \end{array} \] Is the hypothesis test left-tailed, night-tailed, or two-tailed? Two-tailed test Right-tailed test Left-tailed test

Step 1 ：The null hypothesis (H0) is that the mean (μ) is equal to 120.

Step 2 ：The alternative hypothesis (H1) is that the mean (μ) is not equal to 120.

Step 3 ：This suggests a two-tailed test because the alternative hypothesis is testing for a difference in either direction from the hypothesized mean, not specifically greater than or less than.

Step 4 ：Therefore, the parameter being tested is the population mean (μ).

Step 5 ：Final Answer: The hypothesis test is a \(\boxed{\text{Two-tailed test}}\) and the parameter being tested is the \(\boxed{\text{population mean (μ)}}\).