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Anon25 [30]
3 years ago
11

Select another way to show 25 times 18

Mathematics
1 answer:
blagie [28]3 years ago
3 0
These are just some examples:
25 x 18
18 x 25
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Select the correct answer from each drop-down menu.
sdas [7]

The graph described is the graph of a quadratic function.

The x-intercept of the function is at; (8, 0).

<h3>What type of function is described by the graph?</h3>

It follows from the description box of the graph that it begins in the third quadrant, and rises through a series of points in the first quadrant before it exits the first quadrant.

Hence, it follows that the graph is a quadratic function and its x-intercept is at point; (8,0).

Read more on intercept;

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3 0
3 years ago
Write two addition sentences where the sum is positive. In each sentence, one addend should be positive and the other neagtive
Travka [436]
1) -8+9 = 1
2) 99 + -10 = 89
4 0
3 years ago
<img src="https://tex.z-dn.net/?f=%5Cfrac%7Bx%7D%7B3%7D%20%2B%5Cfrac%7B2%7D%7B5%7D%20%3D-4" id="TexFormula1" title="\frac{x}{3}
natita [175]
Solve for x:
x/3 + 2/5 = -4
x/3 + 2/5 - 2/5 = -4 - 2/5
x/3 = -22/5
x/3 * 3 = -22/5 * 3
x = -66/5 or -13 1/5
4 0
4 years ago
Can someone help me please?
taurus [48]

Answer:

the only answer that makes sense would be the length

4 0
3 years ago
Calculate the sample variance and sample standard deviation for the following frequency distribution of heights in centimeters f
Zolol [24]

Answer:

\bar X = \frac{\sum_{i=1}^n X_i f_i}{n}= \frac{22026.1}{171}=128.81

s^2 = \frac{2839948.85- \frac{(22026.1)^2}{171}}{171-1}= 16.59

s= \sqrt{16.587}=4.07

Step-by-step explanation:

For this case we can calculate the sample variance and deviation with the following table

Class               Midpoint (Xi)    fi        Xi*fi       Xi^2 *fi

120.6-123.6        122.1             17      2075.7   253443

123.7-126.7        125.2            49      6134.8    768077

126.8-129.8        128.3            29     3720.7    477365.8

129.9-132.9        131.4             41       5387.4   707904.4

133.0-136.0        134.5            35      4007.5   633158.8

___________________________________________

Total                                        171   22026.1    2839948.85

For this case we can calculate the mean or expected value with the following formula:

\bar X = \frac{\sum_{i=1}^n X_i f_i}{n}= \frac{22026.1}{171}=128.81

Now we can calculate the sample variance with the following formula:

s^2 =\frac{\sum f_i X^2_i -[\frac{(\sum X_i f_i)}{n}]^2}{n-1}

And if we replace we got:

s^2 = \frac{2839948.85- \frac{(22026.1)^2}{171}}{171-1}= 16.59

And the standard deviation would be the square root of the variance and we got:

s= \sqrt{16.59}=4.07

7 0
4 years ago
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