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rusak2 [61]
3 years ago
5

Find the surface area of the prism.

Mathematics
1 answer:
Fed [463]3 years ago
5 0
What do you mean I need to see the prism ??
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What is the next cube number after 1
svet-max [94.6K]
<span><span>Number          Cube
</span><span>1                 =1 × 1 × 1
</span><span>2                 8<span>=2 × 2 × 2</span></span></span>
3 0
3 years ago
Find the mean of the data. <br> 9, 16, 13, 14, 10, 16 , 17, 9 <br> Thanks! Will mark brainly!
saw5 [17]

Answer:

13

Step-by-step explanation:

The mean of the data is also known as the average. To find the mean/average, add up all the data and divide it by the number of inputs recorded.

9 + 16 + 13 + 14 + 10 + 16 + 17 + 9 = 104

There are 8 terms.

104 / 8 = 13

The mean is 13.

Hope this helps!

6 0
3 years ago
Read 2 more answers
Jason is shopping at a store for a shirt. He has a coupon that will reduce the original price of the shirt by $2. A 4% sales tax
kvv77 [185]

Answer:

Hi thats the answer.

Step-by-step explanation:

5 0
2 years ago
The factors of 35, 48, and 60 are listed below. Two of these numbers are relatively prime. Click the two numbers that are
Nostrana [21]

Answer:

35 and 48

Step-by-step explanation:

4 0
3 years ago
A machine making computer chips isn't working correctly, and 5% of the computer chips it makes are defective. If an inspector ch
Rainbow [258]

Answer:

0.25% probability that they are both defective

Step-by-step explanation:

For each computer chip, there are only two possible outcomes. Either they are defective, or they are not. The probability of a computer chip being defective is independent of other chips. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

5% of the computer chips it makes are defective.

This means that p = 0.05

If an inspector chooses two computer chips randomly (meaning they are independent from each other), what is the probability that they are both defective?

This is P(X = 2) when n = 2. So

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 2) = C_{2,2}.(0.05)^{2}.(0.95)^{0} = 0.0025

0.25% probability that they are both defective

4 0
3 years ago
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