Determine the degrees of freedom (df).The degrees of freedom are calculated as the one less than the number of categories (in this case, avors). (df = n-l). Record your df below. B Compare your 12 with the critical value provided by a )6 distribution statistical table, reproduced below. Chi-Square Table to obtain the critical value Freedom (0.05) 11.07 Critical value = Compare the 12 value you calculated with critical value from the table. - If your calculated :6 is larger than the critical value, the deviations you see are too large to be explained by chance alone. There is a signicant difference between the observed and expected values and you must reject the null hypothesis. - If your calculated f is smaller than the critical value, the deviations you see can be explained by chance alone. There is no signicant difference between the observed and expected values and you fail to reject the null hypothesis. (Scientist are always cautious and never, ever, ever "accept" anything) Conclusions a. Based on your individual sample, do you "reject" or "fail to rej ect" the null hypothesis? Why? b. If you rejected your null hypothesis, what might be some explanations for your nnfr-nmp