This article is about a mathematical relationship between lines. For other uses, see Parallel (disambiguation).
"Parallel lines" redirects here. For other uses, see Parallel lines (disambiguation).
Line art drawing of parallel lines and curves.
In geometry, parallel lines are lines in a plane which do not meet; that is, two lines in a plane that do not intersect or touch each other at any point are said to be parallel. By extension, a line and a plane, or two planes, in three-dimensional Euclidean space that do not share a point are said to be parallel. However, two lines in three-dimensional space which do not meet must be in a common plane to be considered parallel; otherwise they are called skew lines. Parallel planes are planes in the same three-dimensional space that never meet.
Parallel lines are the subject of Euclid's parallel postulate.[1] Parallelism is primarily a property of affine geometries and Euclidean geometry is a special instance of this type of geometry. In some other geometries, such as hyperbolic geometry, lines can have analogous properties that are referred to as parallelism.
The formula for this is A= a + b/2 x h.
If you would like to know if (3, 6) is a solution to the inequality x + y <= 9, you can calculate this using the following steps:
(3, 6) ... x = 3, y = 6
x + y <= 9
3 + 6 <= 9
9 <= 9
Result: (3, 6) is a solution to the inequality x + y <= 9.
Answer:
<h2>18</h2>
Step-by-step explanation:
Answer:
mean for a = 60/10 = 6
mad of a = 2
mean for b = 80/10 = 8
mad of b = 2
Step-by-step explanation:
Mean absolute deviation (MAD) of a data set is the average distance between each data value and the mean. Take each number in the data set, subtract the mean, and take the absolute value. Then take the sum of the absolute values. Now compute the mean absolute deviation by dividing the sum above by the total number of values in the data set. The mean absolute deviation, MAD, is 2.
\frac {1}{n} \sum \limits_{i=1}^n |x_i-m(X)|
m(X) = average value of the data set
n = number of data values
x_i = data values in the set
mean = average.
