# Bootstrap
    @timeFunction
    def bootstrap(self, nBoots = 1000):
        bootVec = np.zeros(nBoots)
        for k in range(0,nBoots):
            bootVec[k] = np.average(np.random.choice(self.data, len(self.data)))
        self.bootAvg = np.average(bootVec)
        self.bootVar = np.var(bootVec)
        self.bootStd = np.std(bootVec)