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DanielleElmas [232]
3 years ago
6

Four friends bought movie tickets for $41. the next day seven friends bought movie tickets for $71.75. What is the price of one

ticket?
Mathematics
1 answer:
Nastasia [14]3 years ago
4 0
10.25

41 divided by 4 is 10.25
71.75 divided by 7 is 10.25
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0.00035 + (4.2 x 10-5)
SCORPION-xisa [38]

Step-by-step explanation:

Solve the bracket first. starting with multiplication and then subtraction

0.00035 + (4.2 x 10-5)

0.00035 + (42-5)

0.00035 + 37

0.01295

7 0
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Can someone help me with 13-16 I’ll mark brainliest please guys I’m begging
oee [108]

Answer:

  • you can look the first 3 up online
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3 0
3 years ago
Read 2 more answers
Six more than nine times a Number is 456
Nuetrik [128]
Let the number = x
It would be: 9x + 6 = 456
9x = 456 - 6
9x = 450
x = 450 / 9
x = 50

In short, Your Answer would be 50

Hope this helps!
8 0
3 years ago
Chelsey wants to join a fitness club. The fitness club charges an initial membership fee of $55 and a monthly fee of $19.50. She
Kay [80]
So if you have to pay 55 out front and then continue to pay 19.50 monthly the equation will look like this:
19.50*m + 55 = x
(M stands for month)
She has 250 dollars to spend so add that in for x
<span>19.50*m + 55 = 250. 
Use inverse operations.
250-55 and 55-55
19.50*m = 195
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m=10
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4 0
3 years ago
Harrison Water Sports has two retail outlets: Seattle and Portland. The Seattle store does 60 percent of the total sales in a ye
Anna11 [10]

Answer: P = 0.75

Step-by-step explanation:

Hi!

The sample space of this problems is the set of all the possible sales. It is divided in the disjoint sets:

S_s = {\text{sales made in Seattle }}\\S_p={\text {sales made in Portland}}

We have also the set of sales of boat accesories S_b, the colored one in the image.

We are given the data:

P(S_s) = 0.6\\P(S_b | S_s) = \frac{P(S_b\bigcap S_s)}{P(S_s)}=0.4\\P(S_b|S_p) =\frac{P(S_b\bigcap S_p)}{P(S_p)}=0.2

From these relations you can compute the probabilities of the intersections colored in the image:

pink\;set:\;P(S_b \bigcap S_s) =0.6*0.4=0.24\\blue\;set\;:P(S_b \bigcap S_p)=(1-0.6)*0.2 =0.08

You are asked about the conditional probability:

P(S_s|S_b) = \frac{P(S_s \bigcap S_b)}{P(S_b)}

To calculate this, you need  P(S_b) . In the image you can see that the set S_b is the union of the two disjoint pink and blue sets. Then:

P(S_b)=P((S_b \bigcap S_s)\bigcup(S_b \bigcap S_p)) = 0.24 + 0.08 = 0.32

Finally:

P(S_s|S_b) = \frac{0.24}{0.32}=0.75

4 0
3 years ago
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