The null and alternative hypotheses are given. Determine whether the hypothesis test is left -tailed, right-tailed, or two-tailed.
\[
\begin{array}{l}
H_{0}: p=0.89 \\
H_{1}: p< 0.89
\end{array}
\]
True/False test
Left-tailed test
Two-tailed test
Right-tailed test

Step 1 ：The null hypothesis (H0) is a statement of no effect or no difference. The alternative hypothesis (H1) is a statement that there is an effect or a difference.

Step 2 ：The direction of the inequality in the alternative hypothesis determines the type of the test.

Step 3 ：If the inequality points to the left (<), it's a left-tailed test. If it points to the right (>), it's a right-tailed test. If there is a not equal to sign (≠), it's a two-tailed test.

Step 4 ：In this case, the alternative hypothesis is p < 0.89, which is a left-tailed test.

Step 5 ：So, the answer is True for Left-tailed test and False for Two-tailed test and Right-tailed test.

Step 6 ：Final Answer: The hypothesis test is a \(\boxed{\text{Left-tailed test}}\).