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Elodia [21]
3 years ago
13

Help thank you very much​

Mathematics
1 answer:
charle [14.2K]3 years ago
6 0

Answer:

B: 76

Step-by-step explanation:

I have to put an explanation.I don't have an explanation.

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Aaron bought 3 pizzas each with 12 slices. He and his friends are 1 whole & 2/3 of the pizzas a) how many slices are left b)
Nataliya [291]
3 Pizza's - 1 whole = 2
2 Pizza's - 2/3 Of a Pizza = 4/3 Of Pizza Left
ANSWER: There are 4/3 Of Pizza Left
4 0
4 years ago
Solve for x <br><br> A. 82 <br> B. 98 <br> C. 196 <br> D. 164
3241004551 [841]

Answer:

i think thAt it is c

Step-by-step explanation:

7 0
3 years ago
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Order from least to greatest; 5/8, 11/16, 1/2
marin [14]

Answer:

1/2 5/8 11/16

Step-by-step explanation:

i hope this is right for you good luck

6 0
3 years ago
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A study was designed to investigate the effects of two​ variables, (1) A​ student's level of mathematical anxiety and​ (2) teach
Mashcka [7]

Answer:

P(X>400)=P(\frac{X-\mu}{\sigma}>\frac{400-\mu}{\sigma})=P(Z>\frac{400-440}{20})=P(z>-2)

And we can find this probability using the complement rule:

P(z>-2)=1-P(z

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

P(z>-2)=1-P(z

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(440,20)  

Where \mu=440 and \sigma=20

We are interested on this probability

P(X>440)

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>400)=P(\frac{X-\mu}{\sigma}>\frac{400-\mu}{\sigma})=P(Z>\frac{400-440}{20})=P(z>-2)

And we can find this probability using the complement rule:

P(z>-2)=1-P(z

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

P(z>-2)=1-P(z

6 0
4 years ago
PLEASE HELP!!!!!!!!!
attashe74 [19]
Math homework, im excillent at math but dm me [email protected] and ill sent you the A

4 0
3 years ago
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