Answer:
To obtain a valid approximation for probabilities about the average daily downtime, either the underlying distribution(of the downtime per day for a computing facility) must be normal, or the sample size must be of 30 or more.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean
and standard deviation 
In this question:
To obtain a valid approximation for probabilities about the average daily downtime, either the underlying distribution(of the downtime per day for a computing facility) must be normal, or the sample size must be of 30 or more.
60% = 0.6 = 3/5
25.5% = 0.255 = 51/200
90% = 0.9 = 9/10
33 1/3 = 0.3333 =
62.5% = 0.625 = 5/8
7.5% = 0.07 = 7/100
Answer:
x=4-5/3y
Step-by-step explanation:
3x+5y=12 make x on one side
3x=12-5y divide everything by 3
x=4-5/3y
It will take you 3/4 of an hour, or 45 minutes to paint 1 wall.