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musickatia [10]
3 years ago
11

Evaluate using the order of operations ( 8/9 - 1/3) x 2/3

Mathematics
2 answers:
Readme [11.4K]3 years ago
7 0
Answer:  10/27  .
________________________________________
Explanation:
______________________________________________________
Given:  (8/9 −<span> 1/3) * 2/3 = ? 
______________________________________________________
</span>
Convert "1/3" to "3/9" ; {1/3 = x/9 ; Solve for x;  1/3 = (1*3) / (3*3) = 3/9 ;
________________________________________________________
Rewrite as:  (8/9 − 3/9) * 2/3 = 
                                            (5/9)* (2/3) = (5*2) / (9*3) = 10/27 .
________________________________________________________
Korvikt [17]3 years ago
4 0
(8/9-3/9)*2/3=5/9*2/3=10/27
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And we can find this probability uing the normal standard table:

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And we can find this probability with this difference:

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And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-1.25

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".  

Part a

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

X \sim N(5,1.2)  

Where \mu=5 and \sigma=1.2

We are interested on this probability

P(X>3.5)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

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

P(X>3.5)=P(\frac{X-\mu}{\sigma}>\frac{3.5-\mu}{\sigma})=P(Z>\frac{3.5-5}{1.2})=P(z>-1.25)

And we can find this probability using the complement rule:

P(z>-1.25)=1-P(z

Part b

We are interested on this probability

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

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

P(X

And we can find this probability uing the normal standard table:

P(z

Part c

P(3.5

And we can find this probability with this difference:

P(-1.25

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-1.25

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