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3 years ago

What is the answer 5 X 5 1/6

Mathematics

2 answers:

vaieri [72.5K]3 years ago

6 0

5 × 5 1/6

5 × 31/6 5*31 = 155

= 155 / 6

Lyrx [107]3 years ago

6 0

= 155/6 = 25 5/6 is the answer

I hope i will be the brainliest answer.

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Which is greater 2 2/3, 2.45, 2 2/5

timofeeve [1]

This is least to greatest

2 2/5 or 2.40

2.45

2 2/3

2 2/5 , 2.45 , 2 2/3

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2 years ago

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How do you use math every day?

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Answer:

Figuring out distance, time and cost for travel

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Step-by-step explanation:

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2 years ago

Solve the system of equations. 2y+7x=−5 5y−7x=12

3241004551 [841]

We can solve this by substitution method.

Look at the second equation. If we rearrange to find 7x, we can substitute in the value into the first equation.

$5y-7x=12$

$5y-7x-12=0$

$5y-12=7x$

Therefore, $7x=5y-12$

Now replace the 7x in the first equation with 5y - 12:

$2y+7x=-5$ (substitute in 7x = 5y - 12)

$2y+(5y-12)=-5$

$7y-12=-5$

$7y=7$

$y=1$

Now that we know y, we can find x by substituting in y = 1 into any equation we want. I will use the equation: 7x = 5y - 12

$7x=5y-12$ (substitute in y = 1)

$7x=5(1) -12$

$5x=5-12$

$7x=-7$

$x=-1$

__________________________________________________________

Answer:

$y=1\\x=-1$

4 0

2 years ago

Rewrite the polynomial in standerd form f(x)=(3x+1)(x+2)(x-3)

butalik [34]

F(x) = 3x^3 -2x^2 - 19x -6

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2 years ago

A student believes that less than 50% of students at his college receive financial aid. A random sample of 120 students was take

marusya05 [52]

Answer:

p= 0.9995 and we can conclude that students receiving aid is more than 50% according to the sample results in 2% significance level.

Step-by-step explanation:

$H_{0}$ : less than or equal 50% of students at his college receive financial aid

$H_{a}$ : more than 50% of students receive financial aid.

According to the nul hypothesis we assume a normal distribution with proportion 50%.

z-score of sample proportion can be calculated using the formula:

z= $\frac{X-M}{\frac{s}{\sqrt{N} } }$ where

X is the sample proportion (0.65)
M is the null hypothesis proportion (0.5)
s is the standard deviation of the sample ( $\sqrt{0.5*(1-0.5)}$ )
N is the sample size (120)

then z= $\frac{0.65-0.50}{\frac{\sqrt{0.25}}{\sqrt{120} } }$ ≈ 3,29

thus p= 0.9995 and since p<0.02 (2%), we reject the null hypothesis.

4 0

2 years ago