Data Set: 0.18448283, 0.176270093, 0.152771113, 0.170476495, 0.183456445, 0.143428631, 0.183433868, 0.181790929, 0.178955489, 0.147051268, 0.176681545, 0.184715347, 0.186925206, 0.205341017, 0.162306503, 0.198816598, 0.194343373, 0.144643474, 0.173776401, 0.198675469, 0.170676578, 0.158941604, 0.18176436, 0.17356511, 0.186172446, 0.160822926, 0.175302295, 0.198110239, 0.174073414, 0.193985131, 0.141400685, 0.133647254, 0.151038511, 0.176844345, 0.140669692, 0.187147018, 0.143464733, 0.14460514, 0.181360136, 0.173406043, 0.173784209, 0.171388707, 0.198748163, 0.180333231, 0.181165108, 0.182018834, 0.141663227, 0.172150686, 0.181377826, 0.191174435, 0.182849967, 0.188129962, 0.16220368, 0.133043629, 0.161146365, 0.187550152

1.Compute the mean, median, range, and standard deviation of the data.(please use a calculator function and simply state your results for these)

2.Compute the upper and lower fences for your data set.Show your calculations and end results.

3.Construct a box plot, including labels for the 5-number summary measures.(you may do this in Excel, StatCrunch or neatly by hand.Then insert the image into your post)