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Vladimir [108]
4 years ago
9

Which equations are true? A.0=0+x-x B.0=(-x)-(-x)+0 C.None of the above

Mathematics
1 answer:
Luden [163]4 years ago
8 0

The answer is B

<u><em /></u>

<u><em>Hope this helps!</em></u>

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I need help dont have a lot of time left
Nikolay [14]

Answer:

125 g

Step-by-step explanation:

mg is so little for an orange and kg is too large

so answer is 125 g.

3 0
4 years ago
Read 2 more answers
W = p ( y -z ) Please solve this for z.
11111nata11111 [884]

w = p(y - z)

divide p on both sides

\frac{w}{p} = y - z

Subtract y on both sides

\frac{w}{p} - y = -z

Divide -1 on both sides

-\frac{w}{p} +y=z

8 0
3 years ago
You have 19 shirts to choose from, 5 pants, and 2 pairs of shoes. How many different outfits can you make?
Yanka [14]
if this is a homework question, they probably mean the pedestrian 20 outfit answer.
5 0
3 years ago
A manufacturer of Christmas light bulbs knows that 10% of these bulbs are defective. It is known that light bulbs are defective
Inessa05 [86]

Answer:

(a) P(X \leq 20) = 0.9319

(b) Expected number of defective light bulbs = 15

Step-by-step explanation:

We are given that a manufacturer of Christmas light bulbs knows that 10% of these bulbs are defective. It is known that light bulbs are defective independently. A box of 150 bulbs is selected at random.

Firstly, the above situation can be represented through binomial distribution, i.e.;

P(X=r) = \binom{n}{r} p^{r} (1-p)^{2} ;x=0,1,2,3,....

where, n = number of samples taken = 150

            r = number of success

           p = probability of success which in our question is % of bulbs that

                  are defective, i.e. 10%

<em>Now, we can't calculate the required probability using binomial distribution because here n is very large(n > 30), so we will convert this distribution into normal distribution using continuity correction.</em>

So, Let X = No. of defective bulbs in a box

<u>Mean of X</u>, \mu = n \times p = 150 \times 0.10 = 15

<u>Standard deviation of X</u>, \sigma = \sqrt{np(1-p)} = \sqrt{150 \times 0.10 \times (1-0.10)} = 3.7

So, X ~ N(\mu = 15, \sigma^{2} = 3.7^{2})

Now, the z score probability distribution is given by;

                Z = \frac{X-\mu}{\sigma} ~ N(0,1)

(a) Probability that this box will contain at most 20 defective light bulbs is given by = P(X \leq 20) = P(X < 20.5)  ---- using continuity correction

    P(X < 20.5) = P( \frac{X-\mu}{\sigma} < \frac{20.5-15}{3.7} ) = P(Z < 1.49) = 0.9319

(b) Expected number of defective light bulbs found in such boxes, on average is given by = E(X) = n \times p = 150 \times 0.10 = 15.

                                           

5 0
3 years ago
True or False: The graph below represents the table of values.
Sveta_85 [38]

Answer:

False

Step-by-step explanation:

I would say false;

This graph is really hard to read because of the way it's subdivided but one of the coordinate points is (0,-1) and the line clearly passes through the origin (0,0).

If you have the chance, please tell your teacher to provide better graphs that are actually readable.

8 0
3 years ago
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