def METHOD_NAME(self):
    fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(30, 5))
    ax1.hist(self.statistic.values(), bins=5,density=True)
    ax1.set_title("bin-size: 5")
    ax2.hist(self.statistic.values(), bins=10,density=True)
    ax2.set_title("bin-size: 10")
    ax3.hist(self.statistic.values(), bins=20,density=True)
    ax3.set_title("bin-size: 20")
    plt.suptitle(
        self.quiz.title + f" {'drawn from normal' if self.follows_normal_distribution else 'NOT drawn from normal'}")
    if(self.follows_normal_distribution):
        norm_color = 'tab:red'
        x = np.linspace(self.avg - 3*self.std, self.avg + 3*self.std, 100)
        pdf = stats.norm.pdf(x, self.avg, self.std)
        ax1.plot(x, pdf,color=norm_color)
        ax2.plot(x, pdf,color=norm_color)
        ax3.plot(x, pdf,color=norm_color)
    fig.tight_layout()
    plt.show()