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vladimir1956 [14]
2 years ago
5

The yearly income for an individual with an associate’s degree in 2001 was $53,166 and in 2003 it was $56,970. What is the ratio

of the income in 2001 to the income in 2003 in simplest form?
Mathematics
2 answers:
Lelechka [254]2 years ago
8 0

Answer:

\frac{8861}{9495}

Step-by-step explanation:

Income of an individual in 2001 = \$ 53,166

Income of an individual in 2003 = \$ 56,970

Here, we need to find ratio of income in 2001 to the income in 2003 in simplest form .

i.e we need to convert \frac{\$53,166}{\$ 56,970} in simplest form .

A fraction \frac{a}{b} is said to be in simplest form if HCF(a,b)=1

So, we will first find HCF(53166,56970) then divide both numerator and denominator by the HCF .

Here,

53166=2\times 3\times 8861

56970=2\times 3\times 3\times 3\times 5\times 211

So, HCF(53166,56970)=2\times 3=6

On dividing both numerator and denominator by 6 , we get

\frac{53166}{56970}=\frac{8861}{9495}

8090 [49]2 years ago
6 0

Answer:

8861 : 9495

Step-by-step explanation:

Ratio of income in 2001 to 2003:

53,166 : 56,970

Then, you can simplify by dividing both sides by 6:

8,861 : 9,495

Can't simplify anymore, Therefore this is the answer!

8861 : 9495

Hope I helped! Have a good day :)

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Answer:

DIRECT WAY EXCEL

"=NORM.DIST(75,80,3,TRUE)"

And we got: P(X\leq 75)= 0.04779

OTHER WAY

P(X\leq 75)=P(\frac{X-\mu}{\sigma}\leq \frac{75-\mu}{\sigma})=P(Z\leq \frac{75-80}{3})=P(Z

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Step-by-step explanation:

Previous concepts

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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the diameter of a population, and for this case we know the distribution for X is given by:

X \sim N(80,3)  

Where \mu=80 and \sigma=3

And we know that if the diameter is 75 or less the ring would be considered defective , so then in order to find the proportion of defective we need to find the following probability:

P(X\leq 75)

One way to do this in excel is with the following formula:

"=NORM.DIST(75,80,3,TRUE)"

And we got: P(X\leq 75)= 0.04779

And the other way is use the z score formula given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X\leq 75)=P(\frac{X-\mu}{\sigma}\leq \frac{75-\mu}{\sigma})=P(Z\leq \frac{75-80}{3})=P(Z

And we can find this probability using the normal standard table or excel:

P(Z

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