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Alenkinab [10]
3 years ago
13

(8x^3-6x)-(10x^3+3x^2-x)

Mathematics
1 answer:
den301095 [7]3 years ago
7 0
The answer is on the pic

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a swimmer swam 48 kilometers in d days. What is the value of the d if the swimmer swam an average of 3.2 kilometers daily?
lianna [129]
Time= distance/speed

=48/3.2= 15
6 0
3 years ago
the population in Anna's town was 2,600 last year , this year , the population is 12% greater. what is the population on Anns to
TiliK225 [7]
2912 is the population . when 12% is increase of the Ann's population
5 0
3 years ago
Read 2 more answers
Please help me with this
juin [17]

Answer:

10π (31.415926)

√101(10.0498756)

9.92749...

0.99853...

Step-by-step explanation:

For 10π, we can simplify π into 3.14 for an approximate amount. 3.14*10=31.4

For the square root of ten, we can estimate it's between 10 and 11 since 10 squared is 100 and 11 squared is 121.

6 0
2 years ago
Read 2 more answers
Can anyone help me please
Sauron [17]

Range of values of x is 25°<x<27°.

<u>Step-by-step explanation:</u>

An angle is formed when two rays, a line with one endpoint, meet at one point called a vertex.Alternate interior angles are formed when a transversal passes through two lines. The angles that are formed on opposite sides of the transversal and inside the two lines are alternate interior angles. The Alternate Interior Angles theorem states, if two parallel lines are cut by a transversal, then the pairs of alternate interior angles are congruent.

In above question, sides are equal and so alternate interior angles are equal i.e. 2x + 10° = 62° ⇒ 2x = 52° ⇒ x =26°

∴ range of values of x is 25°<x<27°

4 0
3 years ago
At Least One Defective iPhone It has been reported that 20% of iPhones manufactured by Foxconn for a product launch did not meet
bija089 [108]
We can use the binomial theorem to find the probability that 0 out of the 15 samples will be defective, given that 20% are defective.
P(0/15) = (15C0) (0.2)^0 (1 - 0.2)^15 = (1)(1)(0.8)^15 = 0.0352
Then the probability that at least 1 is defective is equal to 1 - 0.0352 = 0.9648. This means there is a 96.48% chance that at least 1 of the 15 samples will be found defective. This is probably sufficient, though it depends on her significance level. If the usual 95% is used, then this is enough.
7 0
3 years ago
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