You're a manager in a company that produces rocket ships. Machine \text{A}Astart text, A, end text and Machine \text{B}Bstart text, B, end text both produce cockpits and propulsion systems. Machine \text{A}Astart text, A, end text ran for 222222 hours and produced 333 cockpits and 555 propulsion systems. Machine \text{B}Bstart text, B, end text ran for 444444 hours and produced 666 cockpits and 101010 propulsion systems. Assume both machines produce cockpits at the same rate and both produce propulsion systems at the same rate. Can we use a system of linear equations in two variables to solve for a unique amount of time that it takes each machine to produce a cockpit and to produce a propulsion system? Choose 1

72 is the answer to this problem

figure c

step-by-step explanation:

hope this .

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;

-8/2y-8=5/y+4-7y+8/y^2-16

we move all terms to the left:

-8/2y-8-(5/y+4-7y+8/y^2-16)=0

we can not solve this equation