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3 years ago

Which of the following is an unintended environmental consequence of aquaculture?.

SAT

2 answers:

labwork [276]3 years ago

5 0

The question is incomplete but the options were found on brainly websites. here are the options.

Meeting an increasing demand for sea food.
Decreasing the prevalence of disease in nearby wild fish.
Contamination of surrounding water by organic waste.
High critical cost of facility.

Therefore, meting an increasing demand for sea food is an unintended environmental consequence of aquaculture.

<h3>What is unintended environmental consequence?</h3>

Unintended consequences can be refer as unforseen circumstances or result which is as a result of an action or actions when trying to solve a problem.

Some of the unintended circumstances include, pollution, global warming, climate change , ignorance e.t.c.

In aquaculture, meeting an increased demand for sea food will lead to reduction in marine reserves. As human consume sea food often and often at increasing rate, there will be decline in marine lives.

Therefore, meting an increasing demand for sea food is an unintended environmental consequence of aquaculture.

For more details on Unintended Environmental consequence check the link below.

https://brainly.com/question/21193803.

g100num [7]3 years ago

4 0

The statements that best describes an unintended environmental consequence of aquaculture fish-farm enclosures located in estuaries is Aquaculture enclosures can harbor parasites that can negatively affect wild populations that breed in estuaries.

<h3>What is an estuary?</h3>

An estuary can be regarded as partially enclosed, water body which consists of mixture of freshwater from rivers as well as salt water from the ocean.

However, unintended environmental consequence of aquaculture fish-farm enclosures located in estuaries is that parasite can be easily decrease the populations of breed.

Learn more about estuary at;

brainly.com/question/14001282

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The correct answer is D. Have other scientists repeat the procedure and obtain the same results.

Explanation:

One of the most accurate ways to validate the results of an experiment is to allow peers (other scientists) to review the experiment and repeat it, which is known as replication. This process is required to make sure the results are accurate because if the experiment is repeated by a different scientist and the results are different this shows the data is not consistent and therefore the results are invalid. Moreover, inconsistency or lack of replication can occur due to incorrect processes or bias by the scientist.

According to this, the next step in this situation is to "have other scientists repeat the procedure and obtain the same results".On the other hand, repeating the experiment but changing one of the variables or the procedures is not a correct step because this will change the essence of the experiment and lead to different results.

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3 years ago

Simon is a single individual and wants to sign up for the standard plan being offered by his employer. He plans to use in-networ

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<h3>What is In-network Insurance?</h3>

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Have a relatively low annual deductible.

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2 years ago

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Explanation:

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2 years ago

Frank, who lives in texas, and his sister lilly, who lives in japan, correspond regularly. From what he can tell from the postma

ehidna [41]

Answer:

(A) There is convincing evidence that there is no difference in the mean delivery times.

(B) There is convincing evidence that there is a difference in the mean delivery times.

(C) There is convincing evidence that the mean delivery time from Japan to Texas is greater than the mean delivery time from Texas to Japan.

(D) There is not convincing evidence that the mean delivery time from Japan to Texas is greater than the mean delivery time from Texas to Japan.

(E) The t-test cannot be used for sample sizes that are this small.

Explanation:

The correct option is;

(A) There is convincing evidence that there is no difference in the mean delivery times.

Step-by-step explanation:

Here we have the formula for the two-sample t-test given s;

To Texas N₁ = 12, =8.74 σ₁ = 2.92 SE Mean₁ = 0.84

To Japan N₂ = 9 = 6.75 σ₂ = 2.56 SE Mean₁ = 0.85

t = 1.667

Where the null hypothesis is

mu To Texas = mu To Japan and the alternative is

mu To Texas > mu To Japan

Here since the observed P value of P = 0.058 is greater than the significance level of 0.05 we fail to reject the null hypothesis and we will therefore, not accept the alternative hypothesis.

Hence, there is convincing evidence that there is no difference in the mean delivery times.

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