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postnew [5]
2 years ago
10

If Ill m, solve for x. 104° (12x-8) X =

Mathematics
2 answers:
kolbaska11 [484]2 years ago
6 0
12x-8+104=180
12x+96=180
12x=84
Answer
X=7
Vadim26 [7]2 years ago
4 0

Answer:

x=7

Step-by-step explanation:

12x-8+104=180

12x=84

x=12

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Solve (−7) ⋅ (−4) <br> A -28 <br> B -11<br> C 28 <br> D 11
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Answer:

It would be C

Step-by-step explanation:

A negative times a negative is a positive, and 7 x 4 is 28

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(1 point) The distribution of heights of adult men in the U.S. is approximately normal with mean 69 inches and standarddeviation
Ludmilka [50]

Part a)

The mean height is 69 inches with a standard deviation of 2.5 inches.

If we consider a interval of heights that relies on no more than two standard deviations from the mean, we will cover, approximatelly, 95% of men's heights. Then, we interval that we're looking for is:

Answer: 64 TO 74 INCHES

Part b)

Since [69,74] is half of the interval in the previous answer, we might expect half of 95% as the percentage of men who are in this interval. That is:

Answer: 47.5 PERCENT

Part c)

A interval of heights that relies on no more than one standard deviation from the mean covers, approximatelly, 68% of men's heights. Then, we can consider that the percentage of men that are between 64 and 66.5 inches is given by 47.5 - 68/2 = 13.5.

Answr: 13.5 PERCENT

3 0
1 year ago
Can you help me please please correct my
Ostrovityanka [42]

Answer:

a = m/c

~~~~~~~~~~~~~~~~~~~~~~~

m=ca

divide both sides by c

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Step-by-step explanation:

4 0
3 years ago
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A shipment of 50 inexpensive digital​ watches, including 10 that are​ defective, is sent to a department store. The receiving de
ddd [48]

Answer: 0.8926

Step-by-step explanation:

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Also, they reject the whole shipment if 1 or more in the sample are found defective.

Using the binomial probability formula :

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Let x be the random variable that represents the number of defective watches.

The probability that the shipment will be​ rejected :-

P(x\geq1)=1-P(0)\\\\=1-^{10}C_0(0.2)^0(0.8)^{10}\\\\=1-(0.8)^{10}=0.8926258176\approx0.8926

Hence, the probability that the shipment will be​ rejected = 0.8926

6 0
3 years ago
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