To identify the null and alternative hypotheses, we need to understand the claims being made.
-
Null Hypothesis (H₀): This is the hypothesis that the hospital claims is true. In this case, it states that the proportion of successful craniectomies is at least 73%.
- \( H₀: p \geq 0.73 \)
-
Alternative Hypothesis (H₁): This is the hypothesis that the doctor is disputing. It states that the proportion of successful craniectomies is less than 73%.
- \( H₁: p < 0.73 \)
Summary of hypotheses:
- \( H₀: p \geq 0.73 \)
- \( H₁: p < 0.73 \)
Now, regarding the conclusion based on the P-value:
- The significance level (α) is 0.04.
- The P-value obtained from the test is 0.047.
Since the P-value (0.047) is greater than the significance level (0.04), we do not have enough evidence to reject the null hypothesis.
Conclusion:
A. The doctor cannot conclude that fewer than 73% of craniectomies are successful.