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never [62]
3 years ago
13

Find the length of each side due today!!

Mathematics
1 answer:
bulgar [2K]3 years ago
4 0

Answer:

Use the equation you have on your paper

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A vertical pole is supported by two ropes staked to the ground on opposite sides of the pole. One rope is 8 meters long, and the
aniked [119]
Establish two right triangles, both with the height of the pole, h.

Call x the distance from the pole to one stake. Then the distance from the other stake to the pole is 6 -x.

Apply Pytagora's equation to both triangles.

1) h^2 = 7^2 - x^2

2) h^2 = 8^2 - (6-x)^2

Eaual 1 to 2

7^2 - x^2 = 8^2 - 6^2 +12x -x^2

12x = 7^2 -8^2 +6^2 = 49 -64 + 36 = 21

x = 1.75

Substitue x-value in 1

h^2 = 49 - (1.75)^2 = 45.94

h = sqrt(45.94) = 6.78

Answer: option d.
8 0
3 years ago
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A line passes through the points (6,5) and (2,2) .
Rashid [163]
First is yes
Second is no
Third is no
Fourth is no
7 0
3 years ago
Help! Need answers ASAP
andrew11 [14]

Answer:

B

Step-by-step explanation:

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4 years ago
If a figure is a square then it is a regular quadrilateal. is this true or false.explain?
Rudik [331]
True. A regular quadrilateral has 4 equal sides. 
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3 years ago
The mean weight of frozen yogurt cups in an ice cream parlor is 8 oz.Suppose the weight of each cup served is normally distribut
vaieri [72.5K]

Answer:

10.03% probability of getting a cup weighing more than 8.64oz

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

\mu = 8, \sigma = 0.5

What is the probability of getting a cup weighing more than 8.64oz

This is the 1 subtracted by the pvalue of Z when X = 8.64. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{8.64 - 8}{0.5}

Z = 1.28

Z = 1.28 has a pvalue of 0.8997

1 - 0.8997 = 0.1003

10.03% probability of getting a cup weighing more than 8.64oz

4 0
3 years ago
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