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2 years ago

Can you help me to answer this question ?????????

Mathematics

1 answer:

Iteru [2.4K]2 years ago

7 0

Answer:

11/45

Step-by-step explanation:

$-\frac{5}{6} *\frac{2}{3} +\frac{14}{5} *\frac{2}{7} \\\\-\frac{5}{3} *\frac{1}{3} +\frac{2}{5} *\frac{2}{1} \\\\-\frac{5}{9} +\frac{4}{5} \\\\-\frac{25}{45} +\frac{36}{45} \\\\\frac{11}{45} \\\\$

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What it 2.6% written as a decimal?

Readme [11.4K]

.026 because 2.6%*100 is 0.026

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3 years ago

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Given the coordinates below, what is the midpoint of AB?<br> A(-6, -10)<br> B(2,5)

madreJ [45]

Given :

$\:$

A(-6, -10)
B( 2, 5)

$\:$

$\gray{ \frak{The \: given \: two \: \: points \: are(x_{1 },y_{1})=(−6 , -10)and(x_{ 2 },y_{2} )=( 2,5 )\:}}$

$\:$

Let's solve by using midpoint formula :

$\:$

$\bf \boxed{\color{red}\frak{Midpoint \: \: Formula : {( \: x ,\:y \: ) = }( \frak{ \frac{x_{1 } + y_{1}}{2} , \frac{x_{2 } + y_{2}}{2} )}}}$

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$\large \gray{ \frak{( \: x ,\:y \: ) = }( \frak{ \frac{ -6 + 2}{2} , \frac{ - 10 + 5}{2} )}}$

$\:$

$\: \large \gray{ \frak{( \: x ,\:y \: ) = }( \frak{ \frac{ -4}{2} , \frac{ - 5}{2} )}}$

$\:$

$\large \gray{ \frak{( \: x ,\:y \: ) = }( \frak{ \cancel\frac{ -4}{2} , \cancel\frac{ - 5}{2} )}}$

$\: \:$

$\underline{ \boxed{ \large \red{ \frak{option \: d }( \frak{ - 2, - 2.5)}}}}✓$

Hope Helps! :)

6 0

2 years ago

Please answer fast.

Furkat [3]

Answer:

The answer is D. Hope this helps!

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3 years ago

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What is the exact volume of the cone with a radius of 7in and a height of 4in use 3.14 for π

vfiekz [6]

Answer:

The exact volume of the cone is $\frac{196}{3}\pi\ in^{3}$

Step-by-step explanation:

we know that

The volume of the cone is equal to

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$V=\frac{1}{3}\pi (7^{2})(4)=\frac{196}{3}\pi\ in^{3}$

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3 years ago

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Student records suggest that the population of students spends an average of 6.30 hours per week playing organized sports. The p

Ymorist [56]

Answer:

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Step-by-step explanation:

To solve this question, it is important to know the Normal probability distribution and the Central Limit Theorem

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

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Central Limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean $\mu$ and standard deviation $\frac{\sigma}{\sqrt{n}}$ .