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borishaifa [10]
3 years ago
7

What is the standard form of the equation of the circle in the graph

Mathematics
2 answers:
Taya2010 [7]3 years ago
8 0

The standard form of a circle:

(x-h)^2+(y-k)^2=r^2

(h;\ k) - the coordinates of a center of a circle

r - the radius

We have:

the center: (0;\ -4)

the radius: r=2

substitute

(x-0)^2+(y-(-4))^2=2^2\\\\x^2+(y+4)^2=4

andrezito [222]3 years ago
7 0

When an equation of circle is expressed in the form:

(x-h)^2 + (y-k)^2 = r^2

(h, k) is the center and r is the radius.

The center = the coordinate you have plotted on the graph.

Radius = how many units long the circle extends to.

SO, let's plug this in.

Coordinate plotted = (0, -4)

0 = h

-4 = k

(x - {0})^2 + (y - {-4})^2 = 2^2

(x - 0)^2 + (y + 4)^2 = 4

(whenever we have two negative signs next to each other, it turns the digit to the right of the final negative sign positive.)

Now we are left with this final equation as a solution:

x^2 + (y + 4)^2 = 4.

I hope this helped~!

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a media statistics agency reports that the mean number of televisions in a household in a particular country is 2.24. assume tha
KatRina [158]

The probability of a random sample of 40 households having a sample means a number of at least 2.55 televisions per household is 0.48173.

Given: Mean(μ) = 2.24, Standard deviation(σ) = 1.38, Sample size(n) = 1.28 and a random variable for X = 2.55

What is a probability distribution?

A probability distribution is a kind of function for a discrete variable X, whose distribution over a certain interval is discrete or it shows the density of a random variable X that occurs over a given interval in the given distribution.

What is the z-score?

The z-score or the z-value shows the number of standard deviations unit away lies the given random variable from the mean.

Or it shows how dense is the value for a random variable near or away from the mean.

The formula to calculate the z-score from the mean. The standard deviation is:

z = (X - μ) / ( σ / √(n)) where,

z = z-score,

X = random variable,

μ = mean,

σ = standard deviation, and

n = sample size

Let's solve the given question:

We have,

Mean(μ) = 2.24,

Standard deviation(σ) = 1.38,

Sample size(n) = 1.28, and

a random variable for X = 2.55

As it is given sample means at least 2.55 so we have to find the Z(x ≥ 2.55).

Therefore, Z(x ≥ 2.55) = (2.55 - μ) / ( σ / √(n))

Substituting all values we get:

Z(x ≥ 2.55) = (2.55 - 2.24) / ( 1.38 / √(40))

Z(x ≥ 2.55) = 0.01 / 0.21819

Z(x ≥ 2.55) = 0.48173

Hence the probability of a random sample of 40 households having a sample means a number of at least 2.55 televisions per household is 0.48173.

Know more about “probability distribution” here: brainly.com/question/11234923

#SPJ4

Disclaimer: The given question is incomplete. The complete question is mentioned below:

a media statistics agency reports that the mean number of televisions in a household in a particular country is 2.24 with a standard deviation of 1.38 what is the probability of a random sample of 40 households having a sample means a number of at least 2.55 televisions per household?

7 0
2 years ago
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