Answer:
150 oz.
Step-by-step explanation:
There are already 150 ounces of alloy of nickel.
Of this 150 oz, 70% is pure i.e. nickel content = 150(0.7) = 105 oz
Now available is
Nickel Other metals
105 45
Let x oz of pure nickel is added.
Then new alloy will have 105+x oz nickel in total of 150+x oz.
Percentage pure =
Simplify to get
Hence answer is 150 oz should be added.
Answer:
a)
b)
c)
d)
e)
Step-by-step explanation:
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Let X the random variabl length of advertisements produced by Majesty Video Production Inc. We know from the problem that the distribution for the random variable X is given by:
We take a sample of n=16 . That represent the sample size.
a. What can we say about the shape of the distribution of the sample mean time?
From the central limit theorem we know that the distribution for the sample mean is also normal and is given by:
b. What is the standard error of the mean time?
The standard error is given by this formula:
c. What percent of the sample means will be greater than 31.25 seconds?
In order to answer this question we can use the z score in order to find the probabilities, the formula given by:
And we want to find this probability:
d. What percent of the sample means will be greater than 28.25 seconds?
In order to answer this question we can use the z score in order to find the probabilities, the formula is given by:
And we want to find this probability:
e. What percent of the sample means will be greater than 28.25 but less than 31.25 seconds?"
We want this probability: