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2 years ago

(2, -7) and (4, -13)

Mathematics

1 answer:

kkurt [141]2 years ago

8 0

Answer:

-14 or (6,20)

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What value of x will make the equation below true? −x=4

likoan [24]

X=-4
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3 years ago

What is one difference between a pre-owned car and new car?

olga_2 [115]

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3 years ago

Jim believes he will receive 50 pieces of candy for Halloween. If Jim actually received 75 pieces of candy, what is Jim's percen

Gnoma [55]

Answer:

33.3

Step-by-step explanation:

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4 years ago

Need help finding slop please!

Soloha48 [4]

The slope is
1. Find ordered pairs ( 1 , -4 ) ( 3, 3)
The formula is
M= y2 - y1
_____
X2- X1
2. Replace the numbers
M = 3 - 4.
———
1-3
Subtract
3. You get -1/-2
4. Divide you get 0.5
( but if you need rise and run use -1/-2) rise top run bottom
Slope is 0.5 I think
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7 0

3 years ago

A job fair was held at the Student Union. 25% of the students who attended received job offers. Of all of the students at the jo

vovangra [49]

Answer:

A) Both events are not independent.

B) Both events are not mutually exclusive

C) 8.33%

D) 80%

Step-by-step explanation:

A) Both events are not independent. This is because, If B occurs it means that it is very likely that J will occur as well.

B) Both events are not mutually exclusive. This is because it is possible for both events J and B to occur at the same time.

C) we want to find the probability that Joe who is not a business student will receive the job offer.

This is;

P(J|Not B) = P(J & Not B)/P(Not B)

Now,

P(J & Not B) = P(J) – (P(B) × P(J | B))

25% of the students who attended received job offers. Thus; P(J) = 0.25

40% were from the College of Business. Thus;

P(B) = 0.4

Among the business students, 50% received job offers. Thus;

P(J|B) = 0.5

Thus;

P(J & Not B) = 0.25 - (0.4 × 0.5)

P(J & Not B) = 0.25 - 0.2

P(J & Not B) = 0.05

Since P(B) = 0.4

Then, P(Not B) = 1 - 0.4 = 0.6

Thus;

P(J|Not B) = 0.05/0.6

P(J|Not B) = 0.0833 = 8.33%

D) This probability is represented by;

P(B | J) = P(B & J)/P(J)

P(B & J) = (P(B) × P(J | B)) = (0.4 × 0.5) = 0.2

P(B | J) = 0.2/0.25

P(B | J) = 0.8 = 80%

5 0

3 years ago