The statement that: pairs of corresponding points lie on parallel lines in a reflection, is false.
<h3>What are reflections?</h3>
When a point is reflected, then the point is flipped across a point or line of reflection
When a point is reflected, the following highlights are possible
- The corresponding points can line on the same line
- The corresponding points can line on parallel lines
Using the above highlights, we can conclude that the statement is false.
This is so because, corresponding points are not always on parallel lines
Read more about reflection at:
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Answer:
the answer would be x = 3, 0
Step-by-step explanation:
as much as I would like to, I'm really not that good at explaining things
By Green's theorem, the integral of 
along 
is
which is 6 times the area of 
, the region with as its boundary.
We can compute the integral by converting to polar coordinates, or simply recalling the formula for a circular sector from geometry: Given a sector with central angle 
and radius 
, the area 
of the sector is proportional to the circle's overall area according to
so that the value of the integral is
Answer:
101 students
since a whole circle is 360 degrees just subtract 259 from 360
Answer:
In a normal distribution, 50 percent of the data are above the mean, and 50 percent of the data are below the mean. Similarly, 68 percent of of all data points are within 1 standard deviation of the mean, 95 percent of all data points are within 2 standard deviations of the mean, and 99.7 percent are within 3 standard deviations of the mean.
Step-by-step explanation:
The Empirical Rule states that, for a normally distributed random variable:
68% of the measures are within 1 standard deviation of the mean.
95% of the measures are within 2 standard deviation of the mean.
99.7% of the measures are within 3 standard deviations of the mean.
Also:
The normal distribution is symmetric, which means that 50% of the data is above the mean and 50% is below.
Then:
In a normal distribution, 50 percent of the data are above the mean, and 50 percent of the data are below the mean. Similarly, 68 percent of of all data points are within 1 standard deviation of the mean, 95 percent of all data points are within 2 standard deviations of the mean, and 99.7 percent are within 3 standard deviations of the mean.
