Question 3 3. Suppose researchers calculated the 95% confidence interval to be (0.4145, 0.4675). What is the correct interpretation of this interval? There is a 95% probability that the true proportion of all U.S. adults who spend more than 20 hours a week on a computer at home lies between 0.4125 and 0.4675. We are 95% confident that the true sample proportion of U.S. adults who spend more than 20 hours a week on a computer at home lies between 0.4125 and 0.4675. We are 95% confident that the true proportion of all U.S. adults who spend more than 20 hours a week on a computer at home lies between 0.4125 and 0.4675. 95% of adults lie between 0.4125 and 0.4675 Question 4 4. Suppose the researchers decided to take a sample of size 200 rather than that of 81. How would this change the margin of error? The margin of error would decrease The margin of error would stay the same The margin of error would increase