parts (a) and (b) below the number of accidents, fatalities, hours flown, and miles flown for a country's airlines with scheduled service in selected years. Complete Hours Year Accidents Fatalities Miles flown (billions) Flown (millions) 16.1 2002 44 84 6.7 2008 26 21 18.7 7.9 2012 25 1 17.4 7.7 a. Compute the accident rate per million flight hours in 2002 and 2012. By this measure, has general aviation become safer? Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest tenth as needed.) OA. General aviation has become safer because the accident rate in 2002. accidents per million flight hours, is higher than the accident rate in 2012. accidents per million fight hours. OB. General aviation has not become safer because the accident rate in 2002. accidents per million fight hours. accidents per million flight hours, is lower than the accident rate in 2012,

Please help on parts a through e! Thank you!

Step 3: Assess the Evidence (Calculate the test statistic for the observed sample mean. Sketch the T-distribution and identify the position of the observed test statistic. Shade the area that represents the P-value. Use the test statistic to find the P-value.)

5 Imagine that a company sells portable walkie-talkie radios to construction crews. The batteries for these radios last for an average of 55 hours. The purchasing manager for this company receives a brochure in the mail that advertises a new brand of batteries. This new brand of batteries is cheaper than the brand that the company currently uses. However, the purchasing manager is concerned that the cheaper batteries may have a shorter average battery life than the current brand. (Note: The number of hours that batteries last is called their battery life.) The pricing manager installs 40 randomly selected batteries of the cheaper brand in the company's walkie-talkie radios. He finds that the mean battery life for the sample is 52 hours, with a standard deviation of 10 hours. He wants to perform a statistical test at the 1% level of significance to determine whether the cheaper batteries have a shorter average battery life span than the average life span of the brand of batteries the…