(d) Test the hypothesis at the a = 0.10 level of significance with n = 375 students. Assume that the sample mean is still 528 and the sample standard deviation is still 113. Is a sample mean of 528 significantly more than 523? Conduct a hypothesis test using the P-value approach. Find the test statistic. t6 =0 (Round to two decimal places as needed.) Find the P-value. The P-value is N. (Round to three decimal places as needed.) Is the sample mean statistically significantly higher? O A. Yes, because the P-value is less than a = 0.10. O B. No, because the P-value is less than a = 0.10. O C. Yes, because the P-value is greater than a = 0.10. O D. No, because the P-value is greater than a = 0.10. What do you conclude about the impact of large samples on the P-value? O A. As n increases, the likelihood of not rejecting the null hypothesis increases. However, large samples tend to overemphasize practically insignificant differences. O B. As n increases, the likelihood of not rejecting the null hypothesis increases. However, large samples tend to overemphasize practically significant differences. OC. As n increases, the likelihood of rejecting the null hypothesis increases. However, large samples tend to overemphasize practically insignificant differences. O D. As n increases, the likelihood of rejecting the null hypothesis increases. However, large samples tend to overemphasize practically significant differences.