1. This study makes use of random sampling. Because it takes a sample of random Americans to generalize all Americans and they were not randomly assigned to their explanatory variable groups. 2. H0 : π 2002 - π 2004 = 0 Ha : π2002 - π 2004 ≠ 0 Null hypothesis donators in 2004 : The proportion of donators in 2002 equals to the proportion of Alternative hypothesis : The proportion of donators in 2002 isn't the same as the proportion in 2004. (Two-sided) 3. 2002 proportion : 0.154 2004 proportion : 0.172 Difference in proportions kalimat) : -0.018Comment tulis jmlh pendonor n tidak (jlsin tabel dlm 4. Here’s the segmented graph 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 2002 Donated blood in previous 12 months 2004 Did not donate blood in previous 12 months In 2002, the number of people that donated blood in previous 12 months is 210. The number of people that did not donate is 1,152. The proportion of adults American who donated blood in previous 12 months is 0.154 In 2004, the number of people that donated blood in previous 12 months is 230. The number of people that did not donate is 1,106. The proportion of adults American who donated blood in previous 12 months is 0.172. The difference in proportion 2002 & 2004 is -0.18 5. We can suspect that the data which is input matches the segmented bar graph and the two proportion applet. 6. a. First we calculate the 2002 proportion then we calculate the 2004 proportion. Note the difference between the two proportions or just look at the observed difference counted by the applet. Insert it as the count samples and select the beyond option since the alternative hypothesis is two-sided. Then click count, the red statement right below it is the approximate pvalue. b. In this case the p-value is 0.2110 c. The data does not provide enough evidence to allow us to reject the null hypothesis. 7. Yes, the data is approximately normal Mean = 0.000 SD = 0.014 8. a. Z = -1.26 b. We can see that our observed difference in sample proportion is more than 1 standard deviation below zero. c. The p-value according to the standardized statistic is 0.2065. So, just like the simulationbased result, we still don't have enough evidence to reject the null hypothesis.