The two different systems which are responsible for renal autoregulation are:
- Myogenic mechanism
- Tubuloglomerular feedback mechanism.
<h3>What is renal autoregulation?</h3>
Renal autoregulation mechanism is a kind of myogenic autoregulation which maintains a constant renal blood flow at varying arterial pressure.
So therefore, The two different systems which are responsible for renal autoregulation are: Myogenic mechanism
and Tubuloglomerular feedback mechanism.
Complete question:
What are two systems which are responsible for renal autoregulation?
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I believe that it must be the policy of united states -argument.
I believe that we must assist free people- Not argument.
I believe that our help should be primarily through economic and financial aid - argument
<h3>How do you know if the passage is an argument or not?</h3>
A passage is known to be an argument if the Context is trying to convince you about an idea and if its conclusion has what it is trying to convince you of.
Note that one need to know the Reasons and why one need to believe them for it to be an argument.
Therefore, I believe that it must be the policy of united states -argument.
I believe that we must assist free people- Not argument.
I believe that our help should be primarily through economic and financial aid - argument
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Answer:
apples juice, salad oil, salt water
Explanation:
Using the information given and the z-distribution, it is found that:
a) The point estimate of the population proportion is 0.5544.
b) The margin of error is: 0.0320.
c) The interval is: (0.5224, 0.5864).
d) The interpretation of the interval is: we are 95% sure that the true population proportion is between 0.5224 and 0.5864.
<h3>What is a confidence interval of proportions?</h3>
A confidence interval of proportions has the bounds given by the rule presented as follows:
In which the variables used to calculated these bounds are listed as follows:
is the point estimate of the population proportion.
The confidence level is of 95%, hence the critical value z is the value of Z that has a p-value of 
, so the critical value is z = 1.96.
From the sample, the sample size and the point estimate are given as follows:
The margin of error is given by:
M = 0.0320.
The interval is the point estimate plus/minus the margin of error, hence:
- Lower bound: 0.5544 - 0.0320 = 0.5224.
- Upper bound: 0.5544 + 0.0320 = 0.5864.
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