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2 years ago

Please help me with steps.

Mathematics

2 answers:

laiz [17]2 years ago

8 0

Answer:

I think its would be d

Step-by-step explanation:

the distributive property

Jet001 [13]2 years ago

7 0

Answer:

It D. yigigihihijojjvjhjbhhjhj

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A baker is using a cookie recipe that calls for 2 1/4 cups of flower to yield 36 cookies. How many flour will the baker need to

Kryger [21]

90/36 is 2.5, so the Baker needs to make 2.5 batches of cookies

2.5 batches of cookies x 2.25 cups of flour

is 5.625 cups of flour

which is 5 5/8 cups of flour

6 0

3 years ago

How would i etimate the first digit of the quotient

Sergio039 [100]

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3 years ago

A student is asked to find the length of the hypotenuse of a right triangle. The length of one leg is 32

zavuch27 [327]

$Hypotenuse =39cm$ of right angle triangle! .

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

Here we have , A student is asked to find the length of the hypotenuse of a right triangle. The length of one leg is 32 centimeters, and the length of the other leg is 25 centimeters. The student incorrectly says that the length of the hypotenuse is 7.5 centimeters. We need to find:

We have , One length as 32 cm and other as 25 cm , as

$Perpendicular = 32cm\\Base=25cm$

By Pythagoras Theorem ,

⇒ $Hypotenuse^2 = Perpendicular^2+Base^2$

⇒ $Hypotenuse^2 =32^2+22^2$

⇒ $\sqrt{Hypotenuse^2} =\sqrt{1024+484}$

⇒ $Hypotenuse =39cm$

So , $Hypotenuse =39cm$ of right angle triangle! .

4 0

3 years ago

Read 2 more answers

Construct the discrete probability distribution for the random variable described. Express the probabilities as simplified fract

lisov135 [29]

Answer:

$P(X = 0) = 0.03125$

$P(X = 1) = 0.15625$

$P(X = 2) = 0.3125$

$P(X = 3) = 0.3125$

$P(X = 4) = 0.15625$

$P(X = 5) = 0.03125$

Step-by-step explanation:

For each toss, there are only two possible outcomes. Either it is tails, or it is not. The probability of a toss resulting in tails is independent of any other toss, which means that the binomial probability distribution is used 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.

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