Will give brainlisted whoever is correct first. please hurry.

Mathematics

1 answer:

kipiarov [429]2 years ago

3 0

Answer:

32.33 <= m

Step-by-step explanation:

Since we are dealing with below sea level our initial starting point and max level will both be negative values, while our descending rate will also be negative because we are going down. Using the values provided we can create the following inequality...

-400 <= -12m - 12

Now we can solve the inequality to find the max number of minutes that the submarine can descend.

-400 <= -12m - 12 ... add 12 on both sides

-388 <= -12m ... divide both sides by -12

32.33 <= m

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What are the missing numbers?

n200080 [17]

2^2. 2 and 2. Because 2 and 2

8 0

3 years ago

Help me please !!!!!!!

KATRIN_1 [288]

Answer:

m<ACB = 107*

Step-by-step explanation:

First we have to find the angle of m<CEB.

We know that the value of that angle plus m<CEP equals a total of 180, so we subtract the value that we have (147*) from 180 and we get 33*.

33* Is also the value of m<CAB.

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3 years ago

Is N² + N always an even number? Explain

qaws [65]

Answer:

Yes

Step-by-step explanation:

Yes.

Let's first start with even numbers. (N - even number)

Any even number squared, is an even number. Then, we add that squared even number to another even number which would give us an even number.

Now, let's see odd numbers.

Any odd number squared would be an odd number. When you add "N", it would be adding an odd number to an odd number, which gives you an even number.

We can start by factoring the expression:

$N^2+N=N(N+1)$

This is essentially multiplying two consecutive numbers, which in turn means that one number has to be even, and one has to be odd. An odd number multiplied by an even number will always be even.

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3 years ago

In a large population, 82% of the households have cable tv. A simple random sample of 225 households is to be contacted and the

anzhelika [568]

Answer:

The mean of the sampling distribution of the sample proportions is 0.82 and the standard deviation is 0.0256.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .