A. Directions: Find the missing length of the given right triangle. Show your solution. 1. 5 12 7 2.

Q: 28. (3, 2) and (9.4)

A: To find the distance between the given two points.3, 2 and 9, 4

Q: Triangle AGM is similar to Triangle KXB. What is the length of side XD? 32 K

A: Given  Triangle AGM is similar to KXD.

Q: The triangles are similar, find the value of x.

A: If two triangle are similar then their corresponding sides are in proportion.

Q: 5 The parallelogram shown on the grid represents Leta's current garden. The side of each grid square…

A:

Q: Find the value of the variable that results in congruent triangles. Explain. 5. A 2.6 (7b+4)° C 3.3…

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Q: 60 y 8

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Q: B a 15 Q 9 N P A 10 R 13 C

A:

Q: Solve triangle ABC. 3. m<A = 133, m<B = 30, b = 18 %3D

A:

Q: triangle?

A: We have given two right triangles and we have to find the unknown values of a and b. In the first…

Q: D 14, 19 29

A:

Q: 3. a Using AB as a side length, create a square. B. b. What is the area of the square you created?…

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Q: The type your answer... type your answer... type your answer... pentagonal number is 176. The square…

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Q: Solve the triangle to determine the measure of A, a, and C. The order that you determine them…

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Q: 20 X

A: We know that,tan()=(perpendicular)/(base)

Q: Part II. Solving a Right Trian other missing parts. You are fr 1. 6.6cm 9.8cm

A:

Q: 2. Solve for x. Then determine the measure of the two angles. 2r+7 4x-14/ De E

A:

Q: 33. A ramp is in the shape of a right triangle. The legs measure 12 ft and 20 ft. What is the…

A:

Q: 21. What is the value of w in the right triangler Explain. 3. 10 5n

A: Given: A right-angled triangle with two more right-angled triangles inscribed in it. Let the side…

Q: Find the perimeter of this figure. Dimensions are in feet. All angles are right angles. 10 10 .31

A: Add all the side lengths for the perimeter of the given figure.

Continuous Probability Distributions

Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!