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shutvik [7]
3 years ago
13

Find the value 5+4•(2+7)

Mathematics
1 answer:
Sergeeva-Olga [200]3 years ago
6 0
5+4•(2+7)

In PEMDAS, the P: Parenthesis is first. So...let’s start with that! ^^

5+4•(9) - this is because 2+7 is 9


Next, we do multiplication. It is the M in PEMDAS! ^^

5+36 - this is because 4•9 = 36


Now lastly, we add the numbers! ^^

5+36 = 41


^ 41 is your answer! I hope this helps :)
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52% of what number equals 39
OverLord2011 [107]
To figure this equation out, you'll have to divide 39 by 52% (0,52)

39 / 0.52 = 75

39 is 52% of 75 is your answer.

Hope this helps!
8 0
3 years ago
Read 2 more answers
A space probe traveled 524,000,000 miles, at an average speed of 32,000 miles per hour. How many hours did the space probes jour
Svet_ta [14]

Answer:

Step-by-step explanation:

5.24×10⁸ miles × (1 hour)/(3.2×10⁴ miles) = 1.6375×10⁴ hours = 16,375 hours

3 0
3 years ago
What is -0.6(r+0.2) = 1.8 ???
lana66690 [7]

Answer:

r = -3.2

Step-by-step explanation:

-0.6(r+0.2) = 1.8

Divide by -.6

-0.6/-.6(r+0.2) = 1.8/-.6

r+.2 = -3

Subtract .2 from each side

r+.2-.2 = -3-.2

r = -3.2

4 0
3 years ago
4. A safe slope for a ladder is 1 ft of run for every 4 ft of rise. Vincent needs to use a
Ivan

Answer:

5.5 ft

Step-by-step explanation:

because its 4ft for every 1ft there's a ratio of 1:4 so 22 represents the 4 part of the ratio, hence 22 divided by 4 gives us 5.5 on the base

7 0
2 years ago
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.  

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

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

7 0
3 years ago
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