A researcher wants to test the claim that the proportion of juniors and seniors who exercise regularly is not the same. He finds that 42 of 65 randomly selected juniors and 34 of 52 randomly selected seniors report exercising regularly. Construct 90% confidence intervals for each population proportion. Which of the statements gives the correct outcome of the researcher's test of the claim? The 90% confidence interval for juniors is (.530, .762), and the 90% confidence interval for seniors is (.525, .783). Since the intervals overlap, there is not enough evidence to say there is a difference between regular exercise rates among juniors and seniors. The 90% confidence interval for juniors is (.549, .744), and the 90% confidence interval for seniors is (.545, .762). Since the intervals are not the same, there is enough evidence to say there is a difference between regular exercise rates among juniors and seniors. The 90% confidence interval for juniors is (.530, .762), and the 90% confidence interval for seniors is (.525, .783). Since the intervals are not the same, there is enough evidence to say there is a difference between regular exercise rates among juniors and seniors. The 90% confidence interval for juniors is (.549, .744), and the 90% confidence interval for seniors is (.545, .762). Since the intervals overlap, there is not enough evidence to say there is a difference between regular exercise rates among juniors and seniors