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olasank [31]
2 years ago
12

Multiply.

Mathematics
1 answer:
Volgvan2 years ago
5 0

The product of -23 and -4 is 92

<h3>Product of negative numbers</h3>

Given the following expression below;

(−23)⋅(−4)

We are to find the product of the expression as shown;

(−23)⋅(−4) = -(20 + 3) * -(4)

Since the product of two negative signs is equal to positive, hence;

(−23)⋅(−4) =(+)(20+3) * 4

(−23)⋅(−4) = 20(4) + 3(4)

(−23)⋅(−4) = 80 + 12

(−23)⋅(−4) = 92

Hence the product of -23 and -4 is 92

Learn more on product here; brainly.com/question/17485302

#SPJ1

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Yes (2,1) is a solution to the equation

Step-by-step explanation:

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3 years ago
A friend who works in a big city owns two cars, one small and one large. One-quarter of the time he drives the small car to work
lubasha [3.4K]

Answer:

The probability that he drove the small car is 0.318.

Step-by-step explanation:

We are given that a friend who works in a big city owns two cars, one small and one large. One-quarter of the time he drives the small car to work, and three-quarters of the time he takes the large car.

If he takes the small car, he usually has little trouble parking and so is at work on time with probability 0.7. If he takes the large car, he is on time to work with probability 0.5.

Let the Probability that he drives the small car = P(S) = \frac{1}{4} = 0.25

Probability that he drives the large car = P(L) = \frac{3}{4} = 0.75

Also, let WT = event that he is at work on time

So, Probability that he is at work on time given that he takes the small car = P(WT / S) = 0.7

Probability that he is at work on time given that he takes the large car = P(WT / L) = 0.5

Now, given that he was at work on time on a particular morning, the probability that he drove the small car is given by = P(S / WT)

We will use the concept of Bayes' Theorem for calculating above probability;

So,    P(S / WT)  =  \frac{P(S) \times P(WT/S)}{P(S) \times P(WT/S)+P(L) \times P(WT/L)}

                          =  \frac{0.25 \times 0.7}{0.25 \times 0.7+0.75 \times 0.5}

                          =  \frac{0.175}{0.55}

                          =  <u>0.318</u>

Hence, the required probability is 0.318.

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Answer:

Step-by-step explanation:

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You can just use the calculator. :)

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