Open a python notebook and or interpreter and import numpy and scipy.stats if you have not done so. import numpy as np import scipy.stats sales_a = np.array([742, 830, 495, 776, 430, 925, 493, 763, 937]) sales_b = np.array([779, 869, 570, 762, 969, 518, 963, 992]) The series represent fictional monthly sales data (thousands) of two retail outlets. Use the following stats models method to answer the question: "Do the sample means of sales for the different outlets provide enough evidence to conclude with 95% confidence that the population averages are statistically significantly different?" scipy.stats.ttest_ind(sales_a, sales_b, equal_var=False) Group of answer choices Yes, we fail to reject the null hypothesis that the difference between the two population means are equal. No, we fail to reject the null hypothesis that the difference between the two population means are equal. Unknown, there is not enough information to answer this