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Makovka662 [10]
3 years ago
12

What is 12(6+9m) simplified

Mathematics
2 answers:
Korvikt [17]3 years ago
7 0

Answer: the answer would be 12(15m)

Step-by-step explanation:

12 x (6 + 9)

(6 + 9) = 15

15 x 12

12(15m)

Alex3 years ago
5 0

Answer:

12(6+9m)

therefore we multiple the 12 by the numbers in the blaket

72+10m

that's the correct answer

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strojnjashka [21]
20 and 2/3 is correct, I think
7 0
3 years ago
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zzz [600]

Answer:

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Step-by-step explanation:

4 0
3 years ago
Suppose you want to eat lunch at a popular restaurant. The restaurant does not take reservations, so there is usually a waiting
grin007 [14]

Answer:

a) z_1 =\frac{20-19}{4} =0.25

z_2 =\frac{15-19}{4} =-1

And we can use the complement rule and we got:

P(z>0.25)=1-P(z

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

And replacing we got:

P(X >20| X>15)= \frac{0.401}{0.841}= 0.477

b) z_1 =\frac{20-19}{4} =0.25

z_2 =\frac{18-19}{4} =-0.25

And we can use the complement rule and we got:

P(z>0.25)=1-P(z

P(z>-0.25)=1-P(z

And replacing we got:

P(X >20| X>18)= \frac{0.401}{0.599}= 0.669

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 length of time waiting to be seated of a population, and for this case we know the distribution for X is given by:

X \sim N(19,4.0)  

Where \mu=19 and \sigma=4.0

Part a

For this cae we want to find this probability:

P(X >20| X>15)

And if we use the conditional probability formula we got:

P(X >20| X>15)= \frac{P(X >20 \cap X>15)}{P(X>15)}=\frac{P(X>20)}{P(X>15)}

We can solve the problem using the z score formula given by:

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

z_1 =\frac{20-19}{4} =0.25

z_2 =\frac{15-19}{4} =-1

And we can use the complement rule and we got:

P(z>0.25)=1-P(z

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

And replacing we got:

P(X >20| X>15)= \frac{0.401}{0.841}= 0.477

Part b

P(X >20| X>18)= \frac{P(X >20 \cap X>18)}{P(X>18)}=\frac{P(X>20)}{P(X>18)}

We can solve the problem using the z score formula given by:

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

z_1 =\frac{20-19}{4} =0.25

z_2 =\frac{18-19}{4} =-0.25

And we can use the complement rule and we got:

P(z>0.25)=1-P(z

P(z>-0.25)=1-P(z

And replacing we got:

P(X >20| X>18)= \frac{0.401}{0.599}= 0.669

5 0
4 years ago
At a mall food court, the first 18 orders for the day are given below.
aliina [53]

let's focus solely on fried chicken.

So,

18 orders (18 customers) = 4 fried chickens

1 order = ( 4 ÷ 18 )

225 orders (225 customers) = ( 4 ÷ 18 ) × 225

= 50 fried chickens

4 0
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qwelly [4]

Newfoundland and Labrador, and Quebec are the provinces located further east.

<h3>Provinces in Canada:</h3>

Canada is a country located in North America. This country is divided into 10 provinces each with cities and towns. Some of these provinces are:

  • Nova Scotia
  • Prince
  • Newfoundland and labrador
  • Quebec
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<h3>Which provinces are located further east?</h3>

In the eastern region of Canada, the provinces are:

  • Newfoundland and labrador
  • Quebec
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From these, Newfoundland and Quebec are the ones located further east as shown on the map.

Learn more about Canada in: brainly.com/question/784505

4 0
3 years ago
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