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lukranit [14]
2 years ago
13

23+1×6÷130+2=right now please​

Mathematics
2 answers:
Butoxors [25]2 years ago
8 0

The answer is 25.04 (someone just deleted my answer so i'm just doin it again)

OverLord2011 [107]2 years ago
6 0

Answer:

25.04

Step-by-step explanation:

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Approximate the solution to this system of equations. (6 points)
mr_godi [17]

Answer:

The solution is (-2/3,7/3)

Step-by-step explanation:

1) What is the bottom part saying? I will just solve what I see on top since that may be the only part you need to solve, comment what the bottom part is if you need it, I'll help.

2) y=7/3 by solving. for y.

3) x = -4/6 by solving for x after plugging in the y.

4) Your answer is (-2/3,7/3).

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2 years ago
PLEASE ANSWER IT'S IN THE PICTURE I WILL MARK BRAINLIEST IF YOU'RE CORRECT!
harkovskaia [24]

Answer:

It is possible for a set of data values to have more than one mode. If there are two data values that occur most frequently, we say that the set of data values is bimodal. If there is no data value or data values that occur most frequently, we say that the set of data values has no mode.

Step-by-step explanation:

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3 years ago
PLEASEEE HELPPPPP MEEEEE IRREGULARR SHAPE AREA OF BOTHH
kherson [118]

Answer:

I think The White one is 3.61 and the purple is 10....

Step-by-step explanation:

we just divide the shapes into separate and find the area of each separate shape

3 0
2 years ago
Multiply. 37 × 10^2<br> pls i need it
Keith_Richards [23]

Step-by-step explanation:

37 x 10^2 = 3700

8 0
1 year ago
Read 2 more answers
A study of the relationship between age and various visual functions (such as acuity and depth perception) reported the followin
maks197457 [2]

Answer:

(a) \sum x_i=56.68 and \sum x_i^2=197.46

(b) The sample variance is s^2=0.530 and the sample standard deviation is s=0.728

Step-by-step explanation:

(a)

The sum of these 17 sample observations is

\sum x_i=2.79\:+2.57+\:2.73\:+3.75\:+2.27+\:2.75+\:4.00+\:4.22+\:3.88+\:4.35+\:3.41+\:4.57+\:2.38+\:3.73\:+2.75+\:3.47+\:3.06\\\\\sum x_i=56.68

and the sum of their squares is

\sum x_i^2=2.79^2\:+2.57^2+\:2.73^2\:+3.75^2\:+2.27^2+\:2.75^2+\:4.00^2+\:4.22^2+\:3.88^2+\:4.35^2+\:3.41^2+\:4.57^2+\:2.38^2+\:3.73^2\:+2.75^2+\:3.47^2+\:3.06^2\\\\\sum x_i^2=197.46

(b)

The sample variance, denoted by s^2, is given by

s^2=\frac{S_{xx}}{n-1}

where S_{xx} =\sum x_i^2-\frac{(\sum x_i)^2}{n}

Applying the above formula we get that

S_{xx}=197.46-\frac{(56.68)^2}{17}\\\\S_{xx} =8.482

s^2=\frac{8.482}{17-1}=0.530

The sample standard deviation, denoted by <em>s</em>, is the (positive) square root of the variance:

s=\sqrt{s^2}

Applying the above formula we get that

s=\sqrt{0.530}=0.728

3 0
2 years ago
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