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Kaylis [27]
3 years ago
14

ILL GIVE POINTS!! PLS HELP !!!

Mathematics
1 answer:
expeople1 [14]3 years ago
8 0

Answer:

The polar coordinates appear in the form (r, θ), where r is the the radius from the center and θ is the angle. To get the radius, do the following.

r = \sqrt{x^2 + y^2} =  \sqrt{1^2 + (-1)^2} = \sqrt{2}\\

You can get the angle visually by drawing a point (1, -1) on a graph and seeing that it is 45 degrees from the top right quadrant (you can tell its 45 because both x and y have the same magnitude). Since there are 360 degrees, 360 - 45 = 315.

If you would like to find it mathematically, this is the way to do it

\theta = atan(y/x) = -45

Notice that -45 degrees is just 360 - 45 = 315

Your answer would be

(\sqrt{2}, 315)

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<span>(3a^2 - 2a + 4) - (a^2 - 3a + 7) = (distribute the negative sign)
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What information would allow you to identify angle BFA and angle AFE as complementary angles?
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Which graph represents f(x) =3(2)^x
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Step-by-step explanation:

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Read 2 more answers
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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