What is the total surface area please help

Answers

Answer 1

Answer:

Answer:

167

Step-by-step explanation:

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Explain how to write 2 dividid 5 as a fraction

I need help please!!

Answers

Answer:

2 remainder 5 ily

Step-by-step explanation:

Use the distributive property to simplify this expression -2x(3x + x-5)

Answers

-6x-2x+10x
8x+10x
18x.

Answer:

−8x^2 + 10x

Step-by-step explanation:

Consider the sequence below. 3, 1, 1/3, 1/9,...

select the explicit function which defines the sequence.

A.) f(n) = 1/3 • 2^(n - 1)

B.) f(n) = 2 • (1/3)^(n - 1)

C.) f(n) = 1/3 • 3^(n - 1)

D.) f(n) = 3 • (1/3)^(n - 1)

Answers

ANSWER

The explicit formula that defines the sequence is
$f(n) = 3 ( (1)/(3) ) ^(n - 1)$

EXPLANATION

The given sequence is
$3,1, (1)/(3) , (2)/(9) ,...$

The first term of this sequence is
$a = 3$
We can find the common ratio by expressing a subsequent term over a previous term and simplifying it.

The common ratio is
$r = (1)/(3)$

The formula for finding the nth term of the given geometric sequence is given by,

$f(n) = a {r}^(n - 1)$

We now substitute the value of the first term and the common ratio in to the above formula to obtain,

$f(n) = 3( (1)/(3) )^(n - 1)$

The correct answer is option D.

Answer:

Step-by-step explanation:

a store is having a 35 percent off sale, if the original price of the shirt is $18 what is the price of the shirt after the discount is applied (not including tax)

Answers

11.70 dollars would be your answer

$6.3. Turn the percentage into a decimal and multiply that and the amount of money.
Ex. 35—> .35 x 18 = 6.3

Software to detect fraud in consumer phone cards tracks the number of metropolitan areas where calls originate each day. It is found that 1% of the legitimate users originate calls from two or more metropolitan areas in a single day. However, 30% of fraudulent users originate calls from two or more metropolitan areas in a single day. The proportion of fraudulent users is 0.01%. If the same user originates calls from two or more metropolitan areas in a single day, what is the probability that the user is fraudulent?