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White raven [17]
3 years ago
13

Construct the bisector of the following figures :

Mathematics
1 answer:
stellarik [79]3 years ago
4 0
1. Draw an circle centred at B, using a radius that is longer than half of the length of AB.
2. Using the same radius, draw an circle centred at A (and at C) to cut the previous circle.
3. Join points of intersection as shown in the picture. These two lines (PS and RS) are arc  bisectors. 
4. The point of intersection is a center of a circle which passes through points A,B,C.


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What is x equal in the equation 6x+7=3x+2?
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Answer:

x=-5/3

Step-by-step explanation:

6x+7=3x+2

6x-3x=2-7

3x=-5

x=-5/3

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Find the ratio of the width to the length of the rectangle, then simplify the ratio. Use the conversion 100 cm = 1 m.
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Ivan rented a truck for one day. There was a base fee of $18.99 , and there was an additional charge of 91 cents for each mile d
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146 miles

Step-by-step explanation:

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According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a
Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

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 problem, we have that:

\mu = 7.5, \sigma = 1.1

What is the probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

This is the pvalue of Z when X = 8.6 subtracted by the pvalue of Z when X = 6.4. So

X = 8.6

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

Z = \frac{8.6 - 7.5}{1.1}

Z = 1

Z = 1 has a pvalue of 0.8413

X = 6.4

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

Z = \frac{6.4 - 7.5}{1.1}

Z = -1

Z = -1 has a pvalue of 0.1587

0.8413 - 0.1587 = 0.6826

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

6 0
4 years ago
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