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3 years ago

What is the answer Hehshsjsb s. Dhdbsjzbsbajsbxvshsmsndjsjsjs

Mathematics

1 answer:

salantis [7]3 years ago

6 0

Answer:

Step-by-step explanation:

find the value of t

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Determine the equation of a circle whose diameter has the endpoints (-1, 2) and (7.

Viefleur [7K]

Answer:

(x - 3)^2 + (y + 1) = 25

Step-by-step explanation:

First find the midpoint of the diameter, because that represents the center of the circle.

-1 + 7

The x-coordinate of the midpoint is xm = ---------- = 3

2 - 4

and the y-coordinate is ym = ---------- = -1

And so the center of this circle is at (3, -1).

Use the Pythagorean Theorem to determine the square of the radius:

square of radius = 4^2 + (-3)^2 = 16 + 9 = 25

And so the equation of this circle is (x - 3)^2 + (y + 1) = 25

5 0

3 years ago

Read 2 more answers

Time left: 0:48:24<br>Question 11 of 50<br>What are the roots of the quadratic equation<br>x2+3x+2?

alexgriva [62]

Answer:

-1 & -2

Step-by-step explanation:

x²+3x+2

x²+2x+x+2

(x²+2x)+(x+2)

x(x+2)+1(x+2)

(x+1)(x+2)

6 0

3 years ago

Read 2 more answers

Write in summation notation.

Ivahew [28]

If that is -2+1+4+13 I think it should be 16

3 0

2 years ago

The weight of laboratory grasshoppers follows a Normal distribution, with a mean of 90 grams and a standard deviation of 2 grams

JulsSmile [24]

Answer:

95.44% of the grasshoppers weigh between 86 grams and 94 grams.

Step-by-step explanation:

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 of 90 grams and a standard deviation of 2 grams.

This means that $\mu = 90, \sigma = 2$