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Damm [24]
3 years ago
14

Simplify 3x² x 4x5 ggggggggggggg

Mathematics
1 answer:
Effectus [21]3 years ago
4 0

3 {x}^{2}  \times 4 \times 5 \\  = 60{x}^{2}

.... Hope this will help....

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fiasKO [112]

Answer:

It will be $2.40

4 0
3 years ago
Plz help! Question is below!
beks73 [17]

Answer:

16

Step-by-step explanation:

4 0
4 years ago
Read 2 more answers
Part A: Find a rational number that is between 9.5 and 9.7. Explain why it is rational. (2 points)
vladimir2022 [97]

Answer:

  A. 9.6

  B. √92

Step-by-step explanation:

<h3>A.</h3>

Rational: 9.6. It is rational because it is a terminating decimal number.

__

<h3>B.</h3>

Irrational: √92 ≈ 9.59166.... It is irrational because it is the square root of an integer that is not a perfect square. All such square roots are irrational.

_____

<em>Additional comment</em>

In general, the n-th root of an integer that is not a perfect n-th power will be irrational. For example, ∛885 ≈ 9.600954766... is irrational, because 885 is not a perfect cube. (9³=729, 10³=1000)

Trig functions of (non-zero) rational angles in radians will be irrational. For example, tan(1.467) ≈ 9.5996286... is irrational.

3 0
3 years ago
What is the answer to <br> 7/9 - 3/8=
antiseptic1488 [7]
7/9-3/8
56/72-27/72
29/72
5 0
3 years ago
According to the National Beer Wholesalers Association, U.S. consumers years and older consumed gallons of beer and cider per pe
Soloha48 [4]

Step-by-step explanation:

H0 : µ ≤ 26.9

Ha : µ > 26.9

a. since the null hypothesis is rejected, we would accept the alternative hypothesis and come to the conclusion that there is enough evidence that beer and cider consumption are higher than 26.9 in the city.

b. type 1 error happens when we reject a true null hypothesis.

this error error in this question would be that our conclusion that beer and cider consumption is greater than 26.9 is not true. what is true is that it is equal to or less than 26.9.

the consequence is that is h0 is false it would be harder to reject it at a lower level of significance.

c. type ii error happens when the null hypothesis is accepted even though it is false. here, error would be that cider we accepted that cider and beer consumption is less than or equal to 26.9 when it is actually greater than 26.9

the consequence is that it would be harder to accept a true h0 at a high level of significance

6 0
3 years ago
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