I have sampled 8 bags of a certain brand of candy to compare the color distributions of the candies. I have 4 bags for each size of bag, 8 oz and 1.9 lb. The bags were paired randomly. Here are my hypotheses:
$\ \ \ \ H_0: The \ distribution \ of \ each \ color \ of \ candies \ is \ equal \ in \ all \ sizes \ of \ bags.\\ \ \ \ \ H_A: The \ distribution \ of \ each \ color \ of \ candies \ is \ not \ equal \ in \ all \ sizes \ of \ bags.$
I then ran 4 chi-square tests for each pair of bags, generating 4 p-values. With an alpha level of .05, 3 of the pairs suggest I fail to reject my null hypothesis but one suggests I reject it. What is the best way to draw a conclusion from this? Should I overall fail to reject the null hypothesis because the majority shows this?