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Quite possibly, but it will depend on the lines!

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11y ago
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Q: Is it possible to prove that lines p and q are parallel?
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What is the formula for a Trapezium?

Trapezium :Area(A) = 1/2 h(a + b)where a and b are the length of the parallel sidesh= distance between two parallel lines .Perimeter(P) = a + b + c + dwhere a,b,c and d are the length of the sides.


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It is possible.


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To prove a ring is commutative, one must show that for any two elements of the ring their product does not depend on the order in which you multiply them. For example, if p and q are any two elements of your ring then p*q must equal q*p in order for the ring to be commutative. Note that not every ring is commutative, in some rings p*q does not equal q*p for arbitrary q and p (for example, the ring of 2x2 matrices).


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Possibly the letters with no lines of symmetry.


Why binomial distribution can be approximated by Poisson distribution?

Only in certain circumstances:The probability of success, p, in each trial must be close to 0.Then, for the random variable, X = number of successes in n trials, the mean is npand the variance is np(1-p). But since p is close to 0, (1-p) is close to 1 and so np(1-p) is close to np.That is, the mean of the distribution is close to its variance. This is a characteristic of the Poisson distribution.Furthermore, the other characteristics of the distribution: constant probability, independence are met so the Binomial can be approximated by the Poisson.It is possible to prove this analytically but the limitations of this browser - especially in terms of mathematical notation - preclude that.Only in certain circumstances:The probability of success, p, in each trial must be close to 0.Then, for the random variable, X = number of successes in n trials, the mean is npand the variance is np(1-p). But since p is close to 0, (1-p) is close to 1 and so np(1-p) is close to np.That is, the mean of the distribution is close to its variance. This is a characteristic of the Poisson distribution.Furthermore, the other characteristics of the distribution: constant probability, independence are met so the Binomial can be approximated by the Poisson.It is possible to prove this analytically but the limitations of this browser - especially in terms of mathematical notation - preclude that.Only in certain circumstances:The probability of success, p, in each trial must be close to 0.Then, for the random variable, X = number of successes in n trials, the mean is npand the variance is np(1-p). But since p is close to 0, (1-p) is close to 1 and so np(1-p) is close to np.That is, the mean of the distribution is close to its variance. This is a characteristic of the Poisson distribution.Furthermore, the other characteristics of the distribution: constant probability, independence are met so the Binomial can be approximated by the Poisson.It is possible to prove this analytically but the limitations of this browser - especially in terms of mathematical notation - preclude that.Only in certain circumstances:The probability of success, p, in each trial must be close to 0.Then, for the random variable, X = number of successes in n trials, the mean is npand the variance is np(1-p). But since p is close to 0, (1-p) is close to 1 and so np(1-p) is close to np.That is, the mean of the distribution is close to its variance. This is a characteristic of the Poisson distribution.Furthermore, the other characteristics of the distribution: constant probability, independence are met so the Binomial can be approximated by the Poisson.It is possible to prove this analytically but the limitations of this browser - especially in terms of mathematical notation - preclude that.

Related questions

Does a rectangle have parallel and perpendicular lines or parallel and not pependicular lines?

P


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p = a. In a regular polygon with an even number of sides, every side is parallel to the one opposite it. So all a sides are parallel.


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Line l is parallel to line m line l is perpendicular to line p what conclusions can be drawn about the relationship between lines m and p?

Lines are parallel if they are perpendicular to the same line. Since the lines m and l are parallel (given), and the line l is perpendicular to the line p (given), then the lines m and p are perpendicular (the conclusion).


Angle formed by parallel lines and transversal lines that lie outside parallel lines?

after a TON of research we came p with alternate exterior angles.


How do you negate the euclidean parallel postulate?

Assume there are no lines through a given point that is parallel to a given line or assume that there are many lines through a given point that are parallel to a given line. There exist a line l and a point P not on l such that either there is no line m parallel to l through P or there are two distinct lines m and n parallel to l through P.


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What letters in the English language have both parallel and perpendicular lines?

There are letters in the alphabet with both parallel and perpendicular lines. In alphabetical order, they are E, F, and H. If the joining point can be considered perpendicular and parallel, then B, D, P, and R also match the criterion.


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A quadrilateral with one pair of parallel lines would be a trapezoid. : P


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What problem would there be in your picture if the line were not parallel?

Parallel means lines that are avoiding each other (in other words, they don't touch.) So the problem would have to be the way the lines are going. If the lines were intersecting (or crossing) then that would be the problem.For example: You have a problem on a paper that asks you this same question:What problem would there be in your picture if the lines were not parallel?Answer: Then your lines would be an intersecting pair.Slight definition: If your lines are not parallel, then they would have to be intersecting. Intersecting is when two lines (line segments, angles, etc.) cross on each other. For example... they might make an X by forming together in this pattern. Parallel is when your lines are NOT touching. If they are, they would be considered our P/Intersecting. Standing for "Parallel and Intersecting lines."SRW!!