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Mila [183]
3 years ago
6

you and your friends go to the movies. The cost of admission is $9.50 per person. Create a table showing the relationship betwee

n the number of people going to the movies and the total cost of admission. Explain why the cost of admission is proportional to the amount of people.
Mathematics
1 answer:
belka [17]3 years ago
7 0

Hello There,

Since each ticket costs $9.50, the cost for one person must also be $9.50. For two people it would be $19.00 (9.50×2), and so on. The cost of the tickets are proportional to the amount of people. This is because the tickets sell at a constant rate, also know as the constant of proportionality, which in this case is 9.50.


Hope this Helps Have a Nice Day Bye

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6w=30 for w=5 please help me with this
Bond [772]
6(5)=30
6 times 5 is 30
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4 years ago
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I need the answer i don't know the answer so please help me
Alekssandra [29.7K]
1200 - 450 = 750 liters that he needs to fill up

81.5 x 750 = €61,125 
€61,125 x 0.075 = €4,584.38 (discount as a loyal customer)
total paid with discount = €61,125 - €4,584.38 = €56,540.62

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5 0
3 years ago
A and B are two events.
maria [59]

Answer:

0.8

Step-by-step explanation:

We can solve P(A or B) by using the following:

P(AorB)=P(A)+P(B)-P(AandB)

Since we know P(A) = 0.6, P(B) = 0.3 and P(A and B) = 0.1 we obtain:

P(AorB)=0.6+0.3-0.1=0.8


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4 years ago
A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the
Svetradugi [14.3K]

Answer:

The probability that the sample proportion will be less than 0.05 is 0.80511.

Step-by-step explanation:

We are given that a courier service company wishes to estimate the proportion of people in various states that will use its services.

Suppose the true proportion is 0.04 and 349 are sampled.

<u><em>Let </em></u>\hat p<u><em> = sample proportion</em></u>

The z score probability distribution for sample proportion is given by;

                                  Z = \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion

           n = sample size = 349

           p = population proportion = 0.04

Now, the probability that the sample proportion will be less than 0.05 is given by = P( \hat p < 0.05)

         P( \hat p < 0.05) = P( \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < \frac{0.05-0.04}{\sqrt{\frac{0.05(1-0.05)}{349} } } ) = P(Z < 0.86) = 0.80511

<em>The above probability is calculated by looking at the value of x = 0.86 from the z table which has an area of 0.80511.</em>

Hence, the probability that the sample proportion will be less than 0.05 is 0.80511.

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