Suppose the mean wait-time for a telephone reservation agent at a large airline is 45 seconds. a manager with the airline is concerned that business may be lost due to customers having to wait too long for an agent. to address this concern, the manager develops new airline reservation policies that are intended to reduce the amount of time an agent needs to spend with each customer. a random sample of 250 customers results in a sample mean wait-time of 44.1 seconds with a standard deviation of 4.2 seconds. using α = 0.05 level of significance, do you believe the new policies were effective in reducing wait time? do you think the results have any practical significance?

other answer is correct. i had used the radius of the radius somehow. a website:

third choice down

step-by-step explanation:

the first inequality is based on the number of adults and campers, and the second inequality is based on the cost of feeding both the adult and the camper.

we know that there is room for 525 people max.   it's ok to have less than 525, but it's not ok to have more than 525, so the inequality is less than or equal to.   the number combination of adults (x) and campers (y) cannot exceed this 525 max.   therefore:

x + y ≤ 525

now we talk about cost.   it costs $9 to feed one adult, so depending upon the number of adults you have (x) depends upon how much it will cost to feed that number of adults.   same with the campers, who cost $5 to feed.   the adults can be represented by 9x and the campers can be represented by 5y.   since the budget cannot exceed 1,200, the second inequality is:

9x + 5y ≤ 1200