Answer:
apples juice, salad oil, salt water
Explanation:
The equation
shows that the diagonals are congruent perpendicular bisectors.
The vertices of the square are given as:
- c = (1,1)
- d = (3,1)
- e =(3,-1)
- f = (1,-1)
<h3>How to determine the
congruent perpendicular bisectors.</h3>
Start by calculating the slope of diagonal ce using:

So, we have:



Next, calculate the slope of diagonal df using:

So, we have:



The slopes of both diagonals are:


By comparing both slopes, we have:

i.e.

Hence,
shows that the diagonals are congruent perpendicular bisectors.
Read more about perpendicular bisectors at:
brainly.com/question/11006922
The given statement "dual innervation is the term used to describe an organ that receives both sympathetic and parasympathetic motor impulses" is TRUE.
<h3>
What is dual innervation?</h3>
Dual innervation refers to an organ's ability to receive both sympathetic and parasympathetic motor impulses. Sympathetic responses are extensive throughout the body, which is partially explained by the fact that a single sympathetic preganglionic fiber may synapse with 20 or more postganglionic fibers.
Examples of organs with dual innervation include the heart and the eye.
The parasympathetic system slows heart rate whereas the sympathetic system speeds it up.
While the parasympathetic system causes the pupil of the eye to constrict, the sympathetic system causes the pupil to enlarge.
The heart and lungs have separate innervations.
The vagus nerve's impact on the pacemaker cells of the heart has a tiny probability of affecting the rate and force of heart muscle contraction.
Therefore, the given statement "dual innervation is the term used to describe an organ that receives both sympathetic and parasympathetic motor impulses" is TRUE.
Know more about dual innervation here:
brainly.com/question/29665163
#SPJ4
Answer:
Aah... It's so boring to study.
In Statistics, when you are is using the standard normal distribution, P(z < 0) = 0.5.
<h3>What is a normal distribution?</h3>
A normal distribution is also referred to as the Gaussian distribution and it can be defined as a probability distribution that is continuous and symmetrical on both sides of the mean, which shows that all data near the mean have a higher frequency than data that are far from the mean.
This ultimately implies that, when you are is using the standard normal distribution, P(z < 0) must be equal to 0.5 because it has a median of zero (0).
Read more on normal distribution here: brainly.com/question/4637344