And his alternative hypothesis is that, by spinning, your proportion of heads is greater than 50%, where p is the true proportion of spins that a penny would land showing heads. In his 100 spins, the penny landed showing heads in 59 spins. Rahim calculated that the statistic, so this is the sample proportion here, it's 59 out of 100 were heads, so that's 0.59, or 59 hundredths, and he calculated, had an associated p-value of approximately 0.036. So, based on this scenario, if ahead of time, Rahim had set his significance level at 0.05, what conclusions would he now make? And, while you're pausing it, think about how that may or may not have been different if he set his significance levels ahead of time at 0.01. Pause the video and try to figure that out. So, let's, first of all, remind ourselves what a p-value even is.