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Katyanochek1 [597]
3 years ago
8

I need answers plzzzzz

Mathematics
1 answer:
blondinia [14]3 years ago
5 0
9. Wrong name for this angle: <2
10. Wrong name for this angle: <3
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What is 0.0578 in scientific notation?
Andre45 [30]

Answer:

5.78 x 10^-2

Step-by-step explanation:

move the desimal over till it looks like 1.00 count places moved left=negitive, right=positive

3 0
3 years ago
Martha needs 1.25 cups of flour she has 0.75 cups how much flour does Martha need
labwork [276]

Answer:

Step-by-step explanation:

1.25 - .75 = .5 cups of flour

7 0
3 years ago
Read 2 more answers
1. Explain the rule to solve - 15 + 4. Then write you answer.
mestny [16]
1) the rule for #1 is is to subtract the small number from the big number so (15-4) (get rid of all the signs when doing this see how i took away the sign from 15) the answer is then 11 but you pit the sign of the bigger number since 15 is the bigger number and it has the negative sign you put the negative sign on 11 so the answer for 1 is -11

2) to solve -3*-5 you have to realize that they are both negative and the rule of multiplying negative integers is that a negative times a negative = a postive (weird but those are the rules) so -3*-5=15
4 0
3 years ago
Circle as A diameter of 10 cm what is the circumference use 3.14 For £ and do not round your answer be sure to include the corre
astra-53 [7]

Answer:31.4cm

Step-by-step explanation:

Circumference=2×π×(diameter/2)

Circumference=2×3.14×10/2

Circumference=(2×3.14×5)

Circumference=31.

7 0
3 years ago
The assembly line that produces an electronic component of a missile system has historically resulted in a 2% defectiverate. a r
sattari [20]

<span>Defective rate can be expected to keep an eye on a Poisson distribution. Mean is equal to 800(0.02) = 16, Variance is 16, and so standard deviation is 4.
X = 800(0.04) = 32, Using normal approximation of the Poisson distribution Z1 = (32-16)/4 = 4.
P(greater than 4%) = P(Z>4) = 1 – 0.999968 = 0.000032, which implies that having such a defective rate is extremely unlikely.</span>

<span>If the defective rate in the random sample is 4 percent then it is very likely that the assembly line produces more than 2% defective rate now.</span>

3 0
3 years ago
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