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aleksley [76]
4 years ago
14

Dont answer if you dont know

Biology
1 answer:
kow [346]4 years ago
5 0

Answer:

1.Solution

2. Exothermic

3.protons

4. Isotopes

5. Solubility

Explanation:

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Abiotic components of a community include all of the following except
timofeeve [1]
Hello!

I am not given any options, but I can explain the question to you.

A biotic factor is anything that is living in the ecosystem, such as animals, plants, fungi, and bacteria.

An abiotic factor is anything that is not living but the ecosystem needs to thrive, such as sunlight, oxygen, good temperature, living space, etc.

For example, let's say we had options below.

A. Sunlight
B. Living Space
C. Moss
D. Oxygen

As you can see, all of our options are beneficial to an ecosystem, but moss is the only one that is living. In this scenario, our answer would be C. Moss, as it is a biotic but not an abiotic factor.

I hope this helps!

3 0
3 years ago
4. In the fermentation activity, how will you determine if the yeast is performing fermentation?
Scrat [10]

Answer:

Without oxygen present, fermentation occurs. The product of fermentation is a smaller amount of ATP and alcohol (ethanol is a form of alcohol). You can see the products in the graph of sample B. Sample B was not given oxygen (anaerobic) and therefore performed fermentation.

7 0
3 years ago
Read 2 more answers
1. Which of the following traits is not characteristic of animals?
PSYCHO15rus [73]
1. <span>composed of cells with cell walls
2. </span><span>Vertebrates contain a backbone, while invertebrates do not.</span>
5 0
3 years ago
Scientific knowledge is based on
Arlecino [84]

Answer:

observations and inferences.

Explanation:

Scientific knowledge is based on observations and inferences.

:) brainly will always be accepted.

5 0
4 years ago
A confounding variable is another variable, other than the independent variable, that
Elden [556K]

True

A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. They can suggest there is correlation when in fact there isn’t. They can even introduce bias. That’s why it’s important to know what one is, and how to avoid getting them into your experiment in the first place.

3 0
3 years ago
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