Anyone can help me with this ?

In what quadrant would the ordered pair (-6, -9) be located? I II III IV

RoseWind [281]

It would be the 3rd option

8 0

3 years ago

A bag contains 40 marbles there are 26 blue five Green five red to yellow and two black marbles without looking Layla reaches in

DENIUS [597]

10 is the answer.

I think

3 0

3 years ago

I NEEEDDDD HELPPP ASAPPPP!!! it’s urgentttttt

Artist 52 [7]

Answer:

(x + 14)² + (y – 21/2)² = 1

Step-by-step explanation:

The equation of a circle can be written as seen below

(x – h)² + (y – k)² = r²

Where (h,k) is at the center and r = radius

We are given that the radius is 1

We are also given that the center is at (-14,21/2)

So we know that r = 1, h = -14, and k = 21/2

So to find the equation of the circle we simply substitute these values into the equation of a circle

Equation of a circle: (x – h)² + (y – k)² = r²

r = 1, h = -14, and k = 21/2

Substitute values

(x – (-14))² + (y – 21/2)² = 1²

1^2 = 1

The two negative signs before the 14 cancel out and it changes to + 14

The equation of a circle with a center at (-14,21/2) and a radius of 1 is (x + 14)² + (y – 21/2)² = 1

4 0

3 years ago

FREEEEEEEEEEEEEEEE But u gotta tell me how to give brainliest and i might give it to you!!!!!!!!!!!!!

saw5 [17]

Answer:

Thx and to give brainliest there has to be 2 answers, and once they are there, you click on an icon witha crown to give Brainliest. Hope you pick me TwT

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers

Assume that the population of human body temperatures has a mean of 98.6 degrees F and a standard deviation of 0.62 degrees F. I

dimulka [17.4K]

Answer:

0% probability of getting a mean temperature of 98.2 degrees F or lower.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean $\mu$ and standard deviation $\frac{\sigma}{\sqrt{n}}$ .

Normal probability distribution

Problems of normally distributed samples can be 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:

$\mu = 98.6, \sigma = 0.62, n = 106, s = \frac{0.62}{\sqrt{106}} = 0.06$