1000 800 600 Apparent velocity (km/s) 400 200 D.OD 0.25 0.50 0.75 100 1.25 1.50 1.75 2.00 Distance (Mpc) Raw data Python: X5 = np. array ([0. 0339, 0.0423, 0.213, 0.257, 0.273, 0.273, 0.450, 0.503, 0.503, \\ 0.637, 0.805, 0.964, 0.964, 0.910, 0.910, 1.02, 1.11, 1.11, 1.41, \\ 1.72, 2.03, 2.02, 2.02, 2.02]) YS = np. array ( [-19.3, 30.4, 38.7, 5.52, -33.1, -77.3, 398.0, 406.0, 436.0, 320.0, 373.0, \\ 93.9, 210.0, 423.0, 594.0, 829.0, 718.0, 561.0, 608.0, 1.0483, 1.1083, \\ 840.0, 801.0, 519.0]) N = 24 HideStandard deviation Noun calculate the sample standard deviation: To three signicant figures [beware that numpy' std defaults to the population standard deviation}, 3; = Mp1: 31, = kmia Submit You have used a oi 2 attempts saw