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AveGali [126]
3 years ago
15

Write a number that rounds to 20,000 when its rounded to the nearest ten thousand?

Mathematics
1 answer:
laiz [17]3 years ago
4 0
19,999 because 5 and up round it up, lower than 5 round it down.
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18) The degree of P(x) = (x-1)(x+2)(x+3)(2x-5) is<br><br><br>4<br>3<br>2<br>1​
Fantom [35]

Answer:

degree 4

Step-by-step explanation:

The degree of a polynomial is determined by the term with the largest exponent for the polynomial in standard form

Given

P(x) = (x - 1)(x + 2)(x + 3)(2x - 5)

We need only consider the product of the leading terms in each factor, that is

x(x)(x)(2x) = 2x^{4} ← is the leading term in the expansion of the factors

with exponent 4

Thus polynomial is of degree 4

3 0
3 years ago
Help me please i need your help
marishachu [46]

Answer:

\large\boxed{\boxed{\underline{\underline{\maltese{\pink{\pmb{\sf{\: SOLUTION: \: \: \: \: (3x + 4)^{2}}}}}}}}}

Step-by-step explanation:

The given statement is;: 'I think of a number, multiply it by 3, add 4 & square the result.'

At first, let's take the unknown number as 'x' . (asked in the question).

So, the number we think about = x

Now, we need to multiply it by 3. So,

  • 3 * x = 3x

In the next part, we need to add 4 to it so,

  • 3x + 4

Now, by squaring the result, we'll get the expression as,

  • <u>(3x + 4)²</u>

<u>____________</u>

Hope it helps!

\mathfrak{Lucazz}

4 0
2 years ago
Read 2 more answers
Hotel managers wish to learn the average length of stay of all visitors that are senior citizens. A statistician determines that
LiRa [457]

The answer & explanation for this question is given in the attachment below.

8 0
3 years ago
"3. When we have two sorted lists of numbers in non-descending order, and we need to merge them into one sorted list, we can sim
iren [92.7K]

Answer:

Since we extract n elements in total, the algorithm for the running time for K sorted list is O (n log k+ k) = O (n log k)

Step-by-step explanation:

To understand better how we arrived at the aforementioned algorithm, we take it step by step

a, Construct a min-heap of the minimum elements from each of "k" lists.

The creation of this min-heap will cost O (k) time.

b) Next we run delete Minimum and move the minimum element to the output array.

Each extraction takes O (log k) time.

c) Then insert into the heap the next element from the list from which the element was extracted.

Now, we note that  since we extract n elements in total, the running time is

O (n log k+ k) = O (n log k).

So we can conclude that :

Since we extract n elements in total, the algorithm for the running time for K sorted list is O (n log k+ k) = O (n log k)

5 0
3 years ago
Order the numbers from greatest to least 68.02 , 68.2 , 68.022
DanielleElmas [232]

Answer:

68.022 68.02 68.2 thank you

8 0
3 years ago
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