What is your decision for the following situation at 1% level of significance? The life in hours of a 75-W light bulb is known to be approximately normally distributed. A random sample of 10 bulbs are tested and obtained the following data, 1000, 1015, 1555, 1059, 1200, 1300, 1500, 1345, 1688, 1320. To test the hypothesis that the mean life of the light bulbs is 1000 hours, we run the following Python codes and the result is shown in the box. from scipy.stats import ttest_1samp import numpy as np ages = np.array([1000, 1015, 1555, 1059, 1200, 1300, 1500, 1345, 1688, 1320]) tcal, pval = ttest_1samp(ages, 1000) print('t calculated value', teal) print('p-values',pval) t calculated value 4.011749546745182 p-values 0.003055807302340013 O The mean life of the 75-W light bulbs is greater than 1000 hours. The mean life of the 75-W light bulbs is 1000 hours. O The mean life of the 75-W light bulbs is not 1000 hours. O The mean life of the 75-W light bulbs is less than1000 hours