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Alja [10]
3 years ago
8

What is the quotient? StartFraction a minus 3 Over 7 EndFraction divided by StartFraction 3 minus a Over 21 EndFraction StartFra

ction negative (a minus 3) squared Over 147 EndFraction StartFraction (a minus 3) squared Over 147 EndFraction 3 –3
Mathematics
1 answer:
brilliants [131]3 years ago
3 0

Answer:

Correct answer is

\text{Quotient of }\dfrac{a-3}{7}\div\dfrac{3-a}{21} = -3

Step-by-step explanation:

Let us rephrase the given statement mathematically.

We are given the fractions as:

\dfrac{a-3}{7}

to be divided by:

\dfrac{3-a}{21}

<u>To find:</u>

\dfrac{a-3}{7}\div\dfrac{3-a}{21}

Now, let us have a look at the division rule in fractions:

\dfrac{a}{b} \div \dfrac{c}{d}

is equivalent to

\dfrac{a}{b} \times \dfrac{d}{c}

In other words, we say that the second fraction \frac{c}{d} is changed to \frac{d}{c} and \div is changed to \times.

Now solving the given fraction by applying above rules:

\dfrac{a-3}{3}\div\dfrac{3-a}{21}

\Rightarrow \dfrac{a-3}{7}\times \dfrac{21}{3-a}\\\Rightarrow \dfrac{a-3}{7}\times \dfrac{21}{-(a-3)}\\\Rightarrow \dfrac{1}{1}\times \dfrac{3}{-1}\\\Rightarrow -3

So, correct answer is:

\text{Quotient of }\dfrac{a-3}{7}\div\dfrac{3-a}{21} = -3

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Risk taking is an important part of investing. In order to make suitable investment decisions on behalf of their customers, port
GrogVix [38]

Answer:

a=49.5 -1.28*15=30.3

So the value of height that separates the bottom 10% of data from the top 90% is 30.3.  

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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 scores of a population, and for this case we know the distribution for X is given by:

X \sim N(49.5,15)  

Where \mu=49.5 and \sigma=15

We are interested in the bottom 10% of the data.

For this part we want to find a value a, such that we satisfy this condition:

P(X>a)=0.9   (a)

P(X   (b)

Both conditions are equivalent on this case. We can use the z score again in order to find the value a.  

As we can see on the figure attached the z value that satisfy the condition with 0.1 of the area on the left and 0.9 of the area on the right it's z=-1.28. On this case P(Z<-1.28)=0.1 and P(z>-1.28)=0.9

If we use condition (b) from previous we have this:

P(X  

P(z

But we know which value of z satisfy the previous equation so then we can do this:

z=-1.28

And if we solve for a we got

a=49.5 -1.28*15=30.3

So the value of height that separates the bottom 10% of data from the top 90% is 30.3.  

If the score is lower than 30.3 we consider this score as risk averse

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A pair of shoes that normally sells for $74.88 goes on sale for 25% off. What is the sale price?
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Answer:

$56.16

Step-by-step explanation:

74.88 times 0.75 =56.16

3 0
3 years ago
Read 2 more answers
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