1. True or False. If False, explain your reasoning. a) If you repeatedly take large random samples from the same population, and make 90% confidence intervals for the population average, about 90% of the intervals should contain the population average. b) A 90% confidence interval obtained from a random sample of 2000 people has a better chance of containing the population percentage than a 90% confidence interval obtained from a random sample of 1000 people. c) The width of confidence intervals will increase, if you increase the sample size. Would it home more dion 7Cle of the sample of d) The statement, "the 96% confidence interval for the population proportion is (200,500)" means the same thing as saying "there is a 96% probability that the population proportion is between 200 and 500"