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kvasek [131]
3 years ago
14

PLEASE HELP I WILL GIVE YOU BRAINLIEST

Mathematics
1 answer:
fredd [130]3 years ago
5 0

Answer:

I think the distance between b and c is 3.

Step-by-step explanation:

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Solve for p: p(5-2n) = 5/6-1/3
Hatshy [7]
Factor out P:
p(-3n+5)=½
Divide both sides by -3n+5:
p(-3n+5)^-3n+5

½^-3n+5

p=1^-6n+10
6 0
4 years ago
How are colors used on this map?
IceJOKER [234]

Answer:

huh'?

Step-by-step explanation:

8 0
3 years ago
Simplify the expression. 10√6b + 5 √15c - 8 √6b - 3 √15c
ELEN [110]

Answer:

The answer to your question is: 2\sqrt{6} b + 2\sqrt{15} c

Step-by-step explanation:

     10\sqrt{6} b + 5 \sqrt{15} c - 8\sqrt{6} b - 3\sqrt{15} c

Simplify like terms

(10\sqrt{6} b - 8\sqrt{6} b) + (5\sqrt{15} c - 3\sqrt{15} c )

2\sqrt{6} b + 2\sqrt{15} c

5 0
4 years ago
You can fly from Seattle to Boise for $137.50, from Boise to Witchita for $92.50 and from Witchita to Austin for $162.50. Use me
jonny [76]
That would be  392.50  

6 0
3 years ago
Read 2 more answers
23. The mean weight of trucks traveling on a particular section of 1-475 is not known. A state highway inspector needs an estima
Free_Kalibri [48]

Answer:

0.3594 = 35.94% probability that a truck will weigh less than 14.3 tons

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Mean is 15.8 tons, with a standard deviation of the sample of 4.2 tons.

This means that \mu = 15.8, \sigma = 4.2

What is probability that a truck will weigh less than 14.3 tons?

This is the pvalue of Z when X = 14.3. So

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

Z = \frac{14.3 - 15.8}{4.2}

Z = -0.36

Z = -0.36 has a pvalue of 0.3594

0.3594 = 35.94% probability that a truck will weigh less than 14.3 tons

6 0
3 years ago
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