Hello,

For this question, I have to discuss the assumptions and conditions. I have made a box plot to see if it fits a normal distribution. Mine appears not to fit a normal model. Do I continue with this question, or how does it work when it doesn't fit the conditions. Did I make the box plot wrong? Also, what does it mean use a "randomization test"? Could you do this test for me?

off = 1 - 1 of for this Q but tadf ( 4 .474 gg , 9 = 0.00 07 7 Box Plot # 3 (82 ) Heat 5 Heat 21 + 230 235 240 245 250 255 260 265 270 275 280 285 Heat 2 : Lower fence 7 252. 15 - 1. 5 (5.4) = 243. 9 upper fence ? 257 . 55 + 1.5 ( 5 .4 ) : 265. 65 Heat 5 Lower fence + 243. 45 - 1.5 (5, 55) = 235. 13 Upper fence 7 249 + 1.5 (5.55 ) =ng MAW Danielle Alakija 56.77 es FIJ Kanika Beckles DNS GRN T 82. Swimming heats London In Exercise 81, we looked at the times in two different heats for the 400-m women's run from 84 the 2012 Olympics. Unlike track events, swimming heats are not determined at random. Instead, swimmers are seeded so that better swimmers are placed in later heats. Here are the times (in seconds) for the women's 400-m freestyle from heats 2 and 5. Do these results suggest that the mean times of seeded heats 8 are not equal? Explain. Include a discussion of assumptions and conditions for your analysis. (*Use a randomization test to test the difference. Do your con- clusions change?) Country Name Time Heat BUL Nina Rangelova 251.7 2 CHI Kristel Kobrich 252.0 2 JPN Aya Takano 252.3 2 LIE Julia Hassler 253.0 2 MEX Susana Escobar 254.8 N THA Nathanan Junkrajang 256.5 74. On SIN Lynette Lim 258.6 N in Jon KOR Kim Ga-Eul 283.5 N FRA Camille Muffat 243.3 USA Allison Schmitt 243.3 NZL Lauren Boyle 243.6 DEN Lotte Friis ESP 244.2 Melanie Costa AUS 246.8 Bronte Barratt HUN 248.0 Boglarka Kapas RUS 250.0 Elena Sokolova 252.2