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lisabon 2012 [21]
2 years ago
10

Explain step by step please!

Mathematics
2 answers:
vladimir2022 [97]2 years ago
6 0

Answer:

2.5lb

Explanation:

In equation form the question is asking for <em>x</em> in

30(x) = 75

Since multiplication is reversible (to be division), we can switch the equation up.

75 ÷ 30 = x

So the answer is

75 ÷ 30 = 2.5

adelina 88 [10]2 years ago
5 0

Answer:

Each book weighs 2.5 pounds.

Step-by-step explanation:

75/2.5 is 30.  Or you could also get the answer by 30* 2.5 which it would be 75. So, therefor, the answer is 2.5.

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What is 1/2=q+2/3<br> help
alexandr1967 [171]

Answer:

Step-by-step explanation:

1/6

7 0
2 years ago
How can a number line be used to explain why 11.6 &gt; 11.3
Angelina_Jolie [31]
In a number line its shows u were the spt of the numbers are soo. Lets say the number line goes by 2s. Its starts in 8 soo its 8, 10, 12. Go closer and its 10 , 11 , 12 . closer. 11, 11.1 , 11. 2. Untilit keeps going and u can see that 11.6 is farther to the right so that means that it is greater
6 0
3 years ago
Read 2 more answers
A shipment of 50 precision parts including 4 that are defective is sent to an assembly plant. The quality control division selec
natali 33 [55]

Answer:

0.3968 = 39.68% probability this shipment passes inspection.

Step-by-step explanation:

The parts are chosen without replacement, which means that the hypergeometric distribution is used to solve this question.

Hypergeometric distribution:

The probability of x successes is given by the following formula:

P(X = x) = h(x,N,n,k) = \frac{C_{k,x}*C_{N-k,n-x}}{C_{N,n}}

In which:

x is the number of successes.

N is the size of the population.

n is the size of the sample.

k is the total number of desired outcomes.

Combinations formula:

C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

In this question:

50 parts means that N = 50

4 defective means that k = 4

10 are chosen, which means that n = 10

What is the probability this shipment passes inspection?

Probability that none is defective, so:

P(X = x) = h(x,N,n,k) = \frac{C_{k,x}*C_{N-k,n-x}}{C_{N,n}}

P(X = 0) = h(0,50,10,4) = \frac{C_{4,0}*C_{46,10}}{C_{50,10}} = 0.3968

0.3968 = 39.68% probability this shipment passes inspection.

6 0
2 years ago
Find the measure of angle FED and DEN. Thx!!!! :)
Katena32 [7]

Answer:

m<FED=60, m<DEN=120

Step-by-step explanation:

m<FED=60

This is because <GEN and <FED are vertical angles.

Vertical angles are always congruent.

Vertical angles are formed by a pair of intersecting lines, and are the angles directly across from one another.

m<DEN=120

This is because <DEN and <GEN are supplementary.

Supplementary angles add up to 180 degrees.

We know this because a straight line is always 180 degrees.

So:

m<DEN+m<GEN=180

m<DEN+60=180

m<DEN=120

6 0
2 years ago
4. Where do new genes come from? (1 point)
UNO [17]

Answer:

I hope this helped I reshearsed and did my thinking here a handful help need more help call me at 4076321760

Step-by-step explanation:

How the enormous structural and functional diversity of new genes and proteins was generated (estimated to be 1010–1012 different proteins in all organisms on earth [Choi I-G, Kim S-H. 2006. Evolution of protein structural classes and protein sequence families. Proc Natl Acad Sci 103: 14056–14061] is a central biological question that has a long and rich history. Extensive work during the last 80 years have shown that new genes that play important roles in lineage-specific phenotypes and adaptation can originate through a multitude of different mechanisms, including duplication, lateral gene transfer, gene fusion/fission, and de novo origination. In this review, we focus on two main processes as generators of new functions: evolution of new genes by duplication and divergence of pre-existing genes and de novo gene origination in which a whole protein-coding gene evolves from a noncoding sequence.

How new genes emerge and functionally diversify are very fundamental questions in biology, as new genes provide the raw material for evolutionary innovation that allows organisms to adapt, increase in complexity, and form new species. An organism can acquire new genes through at least three distinct, but potentially overlapping, mechanisms (Fig. 1). Thus, a pre-existing gene can be transferred ready made from another organism by lateral gene transfer (via transformation, transduction, and conjugation), or it can evolve by modification of an already existing gene (by duplication–divergence or gene fusion/fission) or it can be generated de novo from noncoding DNA. It is clear that these mechanisms have generated the diversity of genes and proteins that underlies the existence of all organisms, but their relative importance in new gene evolution and functional diversification is unclear. Thus, their importance will depend on several factors, including the organism and gene studied, the time scales involved (e.g., over recent time scales in the majority of eubacteria lateral gene transfer is a more dominant process than the others), and the methodological problems associated with an unambiguous identification of a gene emerging within an organism (a paralog) or being imported from another organism (a xenolog). In this article, we will focus on the roles of the two latter processes (gene duplication–divergence and de novo origination) as generators of new genes, mainly because they address the basic question of how new genes actually emerge (rather than how functional genes are transferred).

3 0
3 years ago
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