TooMuch has two different types of accidents on a regular basis. He either crashes on his bicycle or just falls down for no particular reason. Anyways, when he crashes on his bicycle, he averages 22 stitches per crash from Dr. Gamberg. When he falls down, he averages 10 stitches per fall from Dr. G. Last week, TooMuch had 15 accidents (which is a pretty good week for him) and received 282 stitches from Doctor Gamberg.

How many of the 15 accidents were crashes and how many were falls?

On a certain portion of an experiment, a statistical test result yielded a p-value of 0.21. what can you conclude? 2(0.21) = 0.42 < 0.5; the test is not statistically significant. if the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 21% of the time, so the test is not statistically significant. 0.21 > 0.05; the test is statistically significant. if the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 79% of the time, so the test is not statistically significant. p = 1 - 0.21 = 0.79 > 0.05; the test is statistically significant.