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Jet001 [13]
3 years ago
5

When adding matrix A to the additive identity matrix, the result is ____________.

Mathematics
1 answer:
Hoochie [10]3 years ago
5 0

Adding anything to an additive identity results in the original thing. Here, ...

... [A] + [additive identity matrix] = [A] . . . . . . matrix A

The result is <u>matrix A</u>.

_____

The point of the additive identity is that it does not change anything when you add it.

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Which of the following numbers are square numbers?
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Answer:

9

Step-by-step explanation:

9 is the only number that has a whole number square root, 3.

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Is 3.6 km greater or less than 3600m
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Solve 16.24 divided by 1000
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16.24 ÷ 1,000 = 0.01624

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5 0
3 years ago
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I need help on how to solve this so anything is good :)
DanielleElmas [232]

Answer:

STUV is a square

Step-by-step explanation:

segment length² = (x-x₁)² + (y-y₁)²

ST²: (-9 - 1)2 + (14 - 10)² = (-10)² + 4² = 116   (the rest follow this formula)

TU² = 116    TV² = 232    SU² = 232   SV² = 116   UV² = 116

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4 0
2 years ago
If the probability that your DVD player breaks down before the extended warranty expires is 0.034, what is the probability that
schepotkina [342]

Answer:

0.966

Step-by-step explanation:

Given that:

Probability of DVD player breaking down before the warranty expires = 0.034

To find:

The probability that the player will not break down before the warranty expires = ?

Solution:

Here, The two events are:

1. The DVD player breaks down before the warranty gets expired.

2. The DVD player breaks down after the warranty gets expired

In other words, the 2nd event can be stated as:

The DVD does not break down before the warranty gets expired.

The two events here, have nothing in common i.e. they are mutually exclusive events.

So, Sum of their probabilities will be equal to 1.

\bold{P(E_1)+P(E_2)=1}\\\Rightarrow 0.034+P(E_2)=1\\\Rightarrow P(E_2)=1-0.034\\\Rightarrow P(E_2)=\bold{0.966}

7 0
3 years ago
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