In an academy, there are two batches of students studying for their Green Belt exam. Both batches are instructed to study for 16 hours to prepare for the exam without any variation. You have recorded the time it took for each individual to prepare for the Green Belt exam. To identify the variance in the performance of these two batches, you carry out a 2-Variance test. The results are shown in the given diagram. You have to identify if the variance in study time between the two batches is significantly different. Assume the data is normally distributed. This question is required.* A Since the p-value of F test is greater than 0.05, it is concluded with 95% confidence that the variance in study time of Batch 1 is significantly different than the variance in study time of Batch 2. B Since the p-value of Levene's test is greater than 0.05, it is concluded with 95% confidence that the variance in study time of Batch 1 is significantly different than the variance in study time of Batch 2. C Since the p-value of F test is greater than 0.05, it is concluded with 95% confidence that the variance in study time of Batch 1 is NOT significantly different than the variance in study time of Batch 2. D Since the p-value of Levene's test is greater than 0.05, it is concluded with 95% confidence that the variance in study time of Batch 1 is NOT significantly different than the variance in study time of Batch 2.