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2 years ago

If u get 2 points every 5 minutes, how long will it take to get 1,000 points?

Mathematics

2 answers:

yulyashka [42]2 years ago

6 0

2 points : 5 minutes

2 x 500 points : 5 x 500 minutes

1000 points : 2500 minutes

It will take 2500 minutes to get 1000 points.

marshall27 [118]2 years ago

3 0

Answer:
2500 Minutes

Step-by-step explanation:

If you get 2 points every 5 minutes, how long will it take it to get 1000 points? It's simple

Divide the Number of Points by the Number Of Points you get every 5 minutes then times it by the number of minutes you get 2 points making 2,500 Minutes

I hope it helped ya!

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If the force between two charged objects when you triple the magnitude of both charges. The Force will become 9 times the initial force.

<h3>What is coulombs law?</h3>

According to coulombs law force between two charges is given by

$F = \dfrac{1}{4\pi \epsilon }\dfrac{Qq}{r^2}$

Here, R is the distance between both the charges Q and q.

Let the force on the charges be F1

The distance of separation = r

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$F = \dfrac{1}{4\pi \epsilon }\dfrac{Qq}{r^2}$

Let the force on the charges be F

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The magnitudes of the charges 3q1 and 3q2

K = Coulumb's constant

So,

$F = \dfrac{1}{4\pi \epsilon }\dfrac{Qq}{r^2}$

$F = \dfrac{1}{4\pi \epsilon }\dfrac{3Q\times 3q}{r^2}\\\\F = \dfrac{1}{4\pi \epsilon }\dfrac{9Qq}{r^2}\\\\F =9 \dfrac{1}{4\pi \epsilon }\dfrac{Qq}{r^2}\\\\F = 9F_1$

Learn more about coulombs law;

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2 years ago

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Step-by-step explanation:

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3 years ago

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3 years ago

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When doing blood testing for a viral infection, the procedure can be made more efficient and less expensive by combining partial

Serjik [45]

Answer:

0.1694 = 16.94% probability of a positive result for three samples combined into one mixture.

Step-by-step explanation:

For each test, there are only two possible outcomes. Either it is positive, or it is negative. The probability of a test being positive or negative is independent of any other test, 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.

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This means that $p = 0.06$

If samples from three people are combined and the mixture tests negative, we know that all three individual samples are negative. Find the probability of a positive result for three samples combined into one mixture.

It will be positive if at least one of the tests is positive, that is:

$P(X \geq 1) = 1 - P(X = 0)$

In which

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