Imagine that you randomly select a sample of 30 newborn infants and find that their mean weight is 8.1 pounds. the population mean of newborn infants is known to be 7.4 pounds with a standard deviation of 1.1 pounds. would a sample mean as large as 8.1 be more or less likely if n = 10? why?

this is a good question! i'll do some research and come back when i have the answer!

a) at most means it can cost $12 or less

so the inequality sign would be ≤

you would then need to multiply the number of toppings by the 0.35 for each one and add it to the cost of the cheese pizza.

the equation would be 9.99 + 0.35x ≤ 12

b) using the above equation:

9.99 + 0.35x ≤ 12

subtract 9.99 from each side:

0.35x ≤2.01

divide both sides by 0.35:

x ≤ 2.01 / 0.35

x ≤5.74

at most you could have 5 toppings.

the 5 topping pizza would cost: 0.35 x 5 = 1.75 + 9.99 = $11.74

c=x-39/5

x=39/5+c

step-by-step explanation: