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STALIN [3.7K]
2 years ago
7

Help pls i don not get it

Mathematics
1 answer:
ss7ja [257]2 years ago
3 0
The answer is 7 hope this helps
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Can anybody please help how to do these!! NO LINKS<br><br>​
Masja [62]

Answer:

22.

rcos \theta = rsin \theta

23.

(rcos \theta) ^{2}  + (rsin \theta) ^{2}  = 25

Step-by-step explanation:

To change the equation to polar form replace x with rcos\theta

and y with rsin\theta

3 0
3 years ago
What value of x makes the following equation true?<br><br> x3=−64
Iteru [2.4K]

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-18.50490621

Step-by-step explanation:

To solve, take -64/3.

5 0
3 years ago
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A jewelry artist is selling necklaces at an art fair. It costs $135 to rent a booth at the fair. The cost of materials for each
adelina 88 [10]

Answer:

Step-by-step explanation:

12n>135+4.50n

12(15)>135+4.50(15)

180>135+67.50

180>202.50

False. They will not make a profit since the cost is 202.50 versus the selling price 180

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3 years ago
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Enter an
bekas [8.4K]

Answer:

9 - n

Step-by-step explanation:

could you make me brainliest if this helped? :)

6 0
3 years ago
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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