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Fynjy0 [20]
4 years ago
15

Can someone please help me with this question?

Mathematics
1 answer:
Hatshy [7]4 years ago
4 0
The answer is 168 seconds.
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Please someone helpppp ):
skad [1K]

Answer:

  70 -20x = 60 -15x

Step-by-step explanation:

The amount of money left on Josh's card is ...

  70 -20x

The amount of money left on Jessica's card is ...

  60 -15x

These amounts are the same when ...

  70 -20x = 60 -15x

_____

<em>Additional comment</em>

The solution to this equation is ...

  10 = 5x   ⇒   x = 2 . . same amount after purchase of 2 pizzas

3 0
3 years ago
Find x.<br><br><br><br> Question 1 options:<br><br> 6<br><br><br> 3<br><br><br> 9<br><br><br> 12
fredd [130]
Maybe it’s 3 but it actually depends on the equation . . .
6 0
3 years ago
10 normal six sided dice are thrown.Find the probability of obtaining at least 8 failuresif a success is 5 or 6.
erastova [34]

Answer:

0.2992 = 29.92% probability of obtaining at least 8 failures.

Step-by-step explanation:

For each dice, there are only two possible outcomes. Either a failure is obtained, or a success is obtained. Trials are independent, which means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

A success is 5 or 6.

A dice has 6 sides, numbered 1 to 6. Since a success is 5 or 6, the other 4 numbers are failures, and the probability of failure is:

p = \frac{4}{6} = 0.6667

10 normal six sided dice are thrown.

This means that n = 10

Find the probability of obtaining at least 8 failures.

This is:

P(X \geq 8) = P(X = 8) + P(X = 9) + P(X = 10)

So

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 8) = C_{10,8}.(0.6667)^{8}.(0.3333)^{2} = 0.1951

P(X = 9) = C_{10,9}.(0.6667)^{9}.(0.3333)^{1} = 0.0867

P(X = 10) = C_{10,10}.(0.6667)^{10}.(0.3333)^{0} = 0.0174

Then

P(X \geq 8) = P(X = 8) + P(X = 9) + P(X = 10) = 0.1951 + 0.0867 + 0.0174 = 0.2992

0.2992 = 29.92% probability of obtaining at least 8 failures.

8 0
3 years ago
What is the value of 4p-2, when p=8
ohaa [14]
4p - 2  when p=8

(4 x 8) - 2
32 - 2
30

answer: 30
hope it helped :)
7 0
3 years ago
Read 2 more answers
A TV station wants to conduct a survey to determine which sport should be shown on Sunday in the viewing area: a football game o
love history [14]

Answer:

I'm not completely sure about this. The answer is B.) Sample 2: 50 boys and 50 girls at the local middle school. :)

Step-by-step explanation:

8 0
3 years ago
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