Problem 2: Using a confidence interval to make a decision about a two-sided hypothesis test The Specific Absorption Rate (SAR) for a cell phone measures the amount of radio frequency (RF) energy absorbed by the user's body when using the handset. Every cell phone emits RF energy. Different phone models have different SAR measures. To receive certification from the Federal Communications Commission (FCC) for sale in the United States, the SAR level for a cell phone must be no more than 1.6 watts per kilogram. A 95% confidence interval for the mean SAR level for cell phones is 0.88 to 1.17. a. What is the margin of error? b. Based on the confidence interval, is there evidence to reject the claim that the mean SAR level for cell phones is different than 1.6 watts per kilogram? The graphic below may help: Think of a confidence interval as a DO NOT REJECT region for Ho Bootstrap Distribution of a Sample Statistic Non rejection Rejection Region Region Rejection Region REJECT Ho if null value is EJECT Ho if null value is out out here somewhere DO NOT reject Ho if null value here somewhere is in here somewhere lower upper bound bound