Consider doing a chi-square goodness-of-fit test with the null hypothesis of 1 = 2 = 3 = 1/3 on two different sets

Consider doing a chi-square goodness-of-fit test with the null hypothesis of π₁ = π₂ = π₃ = 1/3 on two different sets of data. For categories 1, 2, and 3, respectively, dataset A has observed values of 10, 15, 10, whereas dataset B has observed values of 100, 150, 100. 

a. What are the observed ratios (e.g., 1:2:1) for each of the datasets and how do they differ? 

b. Based on the observed ratios, would you say one dataset would provide stronger evidence against the null hypothesis than the other? Explain. 

c. Calculate the chi-square test statistic for each dataset. 

d. Based on the chi-square test statistics, which dataset provides stronger evidence against the null hypothesis? Explain why that makes sense.