(b) Implement the test in part (a) and provide a two-tailed p-value. (Use an approximate method if appropriate. Use a = 0.05.) State the null and alternative hypotheses (in g). (Enter != for as needed.) Ho: H₂: Find the test statistic. (If the test does not have a defined test statistic, enter DNE. Round your answer to two decimal places.) Use technology to find the p-value. (Round your answer to four decimal places.) p-value= State your conclusion. Reject Ho. There is insufficient evidence to conclude that there was a change in mean LVM over 4 years. O Reject Ho. There is sufficient evidence to conclude that there was a change in mean LVM over years. Fail to reject Ho. There is insufficient evidence to conclude that there was a change in mean LVM over 4 years. Fail to reject Ho. There is sufficient evidence to conclude that there was a change in mean LVM over 4 years. (c) Provide 95% CI for the change in LVM (in g) over 4 years based on the data in the table. (Enter your answer using interval notation. Round your numerical values to two decimal places.) 9 (d) Since this was a pilot study, the main question of interest is how many subjects would be needed to detect an increase of 10 g in mean LVM over 4 years using a two-sided test with a = 0.05 and power = 80% ? (Hint: Assume that the estimated variance of change in LVM in the pilot study is the true variance of change in LVM. Round your answer up to the next whole number.) subjects