You work for a news organization, and you are asked to spearhead a political poll for a local election. After spending considerable time and resources making sure your sample was random and representative, you find that 56 out of the 100 respondents say they intend to vote for candidate Jones. You make a 95% confidence interval and find that this sample size leads to [0.457, 0.659], which means that you are 95% confident that between 45.7% and 65.9% of voters intend to vote for candidate Jones. Your boss laughs at you because this is completely useless information. Your boss orders you to increase your sample size (considerably.) Choose a new, much higher sample size and compute a new confidence interval. Don't choose my sample size or someone else's. You can assume that the sample proportion will continue to be 56% for your new sample. (Round your number of respondents that intend to vote for candidate Jones to the nearest whole number, if applicable.)