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kykrilka [37]
3 years ago
14

Solving systems of an equation - Homework due tomorrow - Picture provided

Mathematics
1 answer:
dedylja [7]3 years ago
7 0

Answer:

The cost of bucket of popcorn is 4.25$ and The cost of fountain drinks is 6.75$

Step-by-step explanation:

A movie theater sells popcorn and fountain drinks.

Let, x be the number of popcorn

and y be the number of fountain drinks.

Now,

Statement 1: Brett buys 1 popcorn and 3 fountain drinks for his family which cost  him a total of $24.50

Equation 1 can be written as x+3y=24.50

Statement 2: Sarah buys 3 popcorn and 4 fountain drinks for his family which cost her a total of $39.75

Equation 2 can be written as 3x+4y=39.75

The system of equation is given by

Equation 1 :  x+3y=24.50

Equation 2 : 3x+4y=39.75

Using a method of substitution,

For equation 1

x+3y=24.50

x=24.50-3y

Now, replacing the value of x in equation 2

Equation 2 is 3x+4y=39.75

3x+4y=39.75

3(24.50-3y)+4y=39.75

73.50-9y+4y=39.75

-5y=33.75

y=6.75

Putting value y in any equations

Equation 1 is  x+3y=24.50

x+3y=24.50

x+3(6.75)=24.50

x+20.25=24.50

x=4.25

Thus,

The cost of bucket of popcorn is 4.25$ and The cost of fountain drinks is 6.75$

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An automobile insurance company divides customers into three categories, good risks, medium risks, and poor risks. Assume taht 7
scoray [572]

Answer:

a) the probability is P(G∩C) =0.0035 (0.35%)

b) the probability is P(C) =0.008 (0.8%)

c) the probability is P(G/C) = 0.4375 (43.75%)

Step-by-step explanation:

defining the event G= the customer is a good risk  , C= the customer fills a claim then using the theorem of Bayes for conditional probability

a) P(G∩C) = P(G)*P(C/G)

where

P(G∩C) = probability that the customer is a good risk and has filed a claim

P(C/G) = probability to fill a claim given that the customer is a good risk

replacing values

P(G∩C) = P(G)*P(C/G) = 0.70 * 0.005 = 0.0035 (0.35%)

b) for P(C)

P(C) = probability that the customer is a good risk *  probability to fill a claim given that the customer is a good risk + probability that the customer is a medium risk *  probability to fill a claim given that the customer is a medium risk +probability that the customer is a low risk *  probability to fill a claim given that the customer is a low risk =  0.70 * 0.005 + 0.2* 0.01 + 0.1 * 0.025

= 0.008 (0.8%)

therefore

P(C) =0.008 (0.8%)

c) using the theorem of Bayes:

P(G/C) =  P(G∩C) / P(C)

P(C/G) = probability that the customer is a good risk given that the customer has filled a claim

replacing values

P(G/C) =  P(G∩C) / P(C) = 0.0035 /0.008 = 0.4375 (43.75%)

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