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Dima020 [189]
3 years ago
11

A circle has its center at (6,-3). One point on the circle is (3, 1).

Mathematics
1 answer:
Komok [63]3 years ago
3 0

Answer: A (10,-6)

Step-by-step explanation:

<u>step 1</u>:-  The equation of the circle is given center and radius is

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

<u>Step 2</u>:-

A circle has its center at (6,-3) and point on the circle is (3,1),Now

we have find radius from center to the given point on the circle

The distance of two points are

\sqrt{(x_{2}-x_{1})^2 +(y_{2}-y_{1} )^2  }

\sqrt{(1-(-3))^2+(3-6)^2}

\sqrt{25}

r=5

<u>step 3</u>:-

The equation of the circle having center and radius is

(x-6)^{2}+(y+3)^2=5^{2}

verification:

This circle is passing through the point (10,-6)

(10-6)^{2}+(-6+3)^2=25

25 =25

There fore the another point that lies on the circle is (10,-6).

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If you have two statements p and q and p\Rightarrow q is true, then  \neg q\Rightarrow \neg p is also true.

In your case, statements are p - "x is odd" and q -  "2x is even".

 Then \neg p - "x is not odd" and \neg q - "2x is not even."


Hence \neg q\Rightarrow \neg p sounds as: "If 2x is not even, then x is not odd".
Answer: correct choice is D.







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3 years ago
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Answer:

(a) E(X) = 950

(b) $ COV = 0.007255$

(c) P(X > 980) = 0.00001\\\\

Step-by-step explanation:

The given problem can be solved using binomial distribution since the product either fails or passes, the probability of failure or success is fixed and there are n repeated trials.

probability of failure = q = 0.05

probability of success = p = 1 - 0.05 = 0.95

number of trials = n = 1000

(a) What is the expected number of non-defective units?

The expected number of non-defective units is given by

E(X) = n \times p \\\\E(X) = 1000 \times 0.95 \\\\E(X) = 950

(b) what is the COV of the number of non-defective units?

The coefficient of variance is given by

$ COV = \frac{\sigma}{E(X)} $

Where the standard deviation is given by

\sigma = \sqrt{n \times p\times q} \\\\\sigma = \sqrt{1000 \times 0.95\times 0.05} \\\\\sigma = 6.892

So the coefficient of variance is

$ COV = \frac{6.892}{950} $

$ COV = 0.007255$

(c) What is the probability of having more than 980 non-defective units?

We can use the Normal distribution as an approximation to the Binomial distribution since n is quite large and so is p.

P(X > 980) = 1 - P(X < 980)\\\\P(X > 980) = 1 - P(Z < \frac{x - \mu}{\sigma} )\\\\

We need to consider the continuity correction factor whenever we use continuous probability distribution (Normal distribution) to approximate discrete probability distribution (Binomial distribution).

P(X > 980)  = 1 - P(Z < \frac{979.5 - 950}{6.892} )\\\\P(X > 980)  = 1 - P(Z < \frac{29.5}{6.892} )\\\\P(X > 980)  = 1 - P(Z < 4.28)\\\\

The z-score corresponding to 4.28 is 0.99999

P(X > 980) = 1 - 0.99999\\\\P(X > 980) = 0.00001\\\\

So it means that it is very unlikely that there will be more than 980 non-defective units.

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