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4 years ago

11

How to check that a number is divisible by 3 or not?? Need a best shortcut!!

2 answers:

hichkok12 [17]4 years ago

7 0

You could add together all the digits and then see if that is divisible by three. For example the number 345. 3 + 4 + 5 = 12. 12 is divisible by 3 therefore this number is too.

Hope This Helps You!
Good Luck Studying :)

Lilit [14]4 years ago

5 0

If your number is quite large, like 3 digit or higher than that, then calculate the sum of their digits, if they will be divisible by 3, then the number is divisible, otherwise not.

For example. - "11055"
Here, sum of digits = 1 + 1 + 0 + 5 + 5 = 12
As 12/3 = 4 (Divisible)

In short, This number would be divisible.

Hope this helps!

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Help ASAP math homework no spam links or i will report

max2010maxim [7]

Answer:

$x = \frac{19-2y}{3}$

$y=-\frac{3x+19}{2}$

Step-by-step explanation:

4x + y = 22

y = x - 3

4x + y + y = 22 + x - 3

4x + 2y = 19 + x

4x - x + 2y = 19 + x - x

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$x = \frac{19-2y}{3}$

$y=-\frac{3x+19}{2}$

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3 years ago

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OLEGan [10]

Answer:

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(x² + 2x + 1) - 1 + (y² + 4y + 4) - 4 = 20

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4 years ago

The caller times at a customer service center has an exponential distribution with an average of 22 seconds. Find the probabilit

jenyasd209 [6]

Answer:

The probability that a randomly selected call time will be less than 30 seconds is 0.7443.

Step-by-step explanation:

We are given that the caller times at a customer service center has an exponential distribution with an average of 22 seconds.

Let X = caller times at a customer service center

The probability distribution (pdf) of the exponential distribution is given by;

$f(x) = \lambda e^{-\lambda x} ; x > 0$

Here, $\lambda$ = exponential parameter

Now, the mean of the exponential distribution is given by;

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So, $22=\frac{1}{\lambda}$ ⇒ $\lambda=\frac{1}{22}$

SO, X ~ Exp( $\lambda=\frac{1}{22}$ )

To find the given probability we will use cumulative distribution function (cdf) of the exponential distribution, i.e;

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Now, the probability that a randomly selected call time will be less than 30 seconds is given by = P(X < 30 seconds)

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= 1 - 0.2557

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