The text presents a hypothesis test problem with a test statistic \( z = 1.93 \) for the claim that \( p \neq 0.899 \).**Tasks:**a. **Identify the Hypothesis Test**: Determine whether it is two-tailed, left-tailed, or right-tailed. - Answer: This is a **two-tailed** test.b. **Find the P-value**: Calculate the P-value and round it to three decimal places as needed. - Answer: P-value = [ ]c. **Decision Criteria**: Using a significance level of \( \alpha = 0.01 \), decide whether to reject \( H_0 \) or fail to reject \( H_0 \). - You are directed to consult two pages of the standard normal distribution table to assist with this calculation.The text contains instructions to view additional resources via clickable links to standard normal distribution tables to help with calculations for the hypothesis test. There are no graphs or diagrams included in the text.

Solution: From the given information, the test statistic is z = 1.93 and the claim is p≠0.899.a. State the hypotheses. Null hypothesis: H0: p = 0.899 Alternative hypothesis: H1: p ≠ 0.899 If an alternative hypothesis contains “≠” symbol, then the test is two-tailed. Here, an alternative hypothesis contains “≠” symbol. Thus, the correct option is “two-tailed”. Reason for the incorrect options: If an alternative hypothesis contains “<” symbol, then the test is left-tailed. If an alternative hypothesis contains “>” symbol, then the test is right-tailed. Since the alternative hypothesis does not contain these symbols the options left-tailed and right-tailed are incorrect.b. The p-value isc. Rejection rule: If the P-value is less than or equal to 0.01, then reject the null hypothesis. Conclusion: Here, the P-value is 0.054. This is greater than 0.01. By the rejection rule, do not reject the null hypothesis. Thus, the correct option is “Fail to reject H0”.