An airport official wants to prove that the proportion of delayed flights for airline a (denoted as p1) is less than the proportion of delayed flights for airline b (denoted as p2). random samples for both airlines after a storm showed that 51 out of 200 flights for airline a were delayed, while 60 out of 200 of airline b's flights were delayed. what is the standard error for this hypothesis test?

Use this data in the problem below. follow the steps carefully. round to the nearest tenth. lot 3: week 1: 345 week 2: 340 week 3: 400 week 4: 325 step 1. jim enters the data and calculates the average or mean. step 2. jim calculates the deviation from the mean by subtracting the mean from each value. step 3. jim squares each deviation to remove negative signs. step 4. jim sums the squares of each deviation and divides by the count for the variance. step 5. jim takes the square root of the variance to find the standard deviation.

Anyone know? will mark brainliest if correct

Long division the problem is 40 ➗ 348 = ?