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sp2606 [1]
3 years ago
15

Three times a number subtracted from the quotient of fifteen and a number. Use x as your variable

Mathematics
1 answer:
IgorC [24]3 years ago
6 0

Answer:

(15 divided by x) - 3x

Step-by-step explanation:

Hope this helps! Have an Amazing day!!

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Help! Please!! I will give brainliest!!
Luden [163]

Answer:

<em>You would need 10 yards of fabric</em>

Step-by-step explanation:

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If I could get some help it would be very much appreciated
raketka [301]

Answer:

Step-by-step explanation:

A circle is 360 degrees. What we are asked in words is, "How many degrees is 40% of 360?" Let x be "how many degrees"; the word "is" means =; 40% as a decimal is .4; the word of in this context means to multiply; and 360 is just 360. Putting all that together into an equation we can solve for x:

x = .4(360) so

x = 144

Adventure movies covers 144 degrees of that circle.

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total of 420 tickets were sold for the school play. They were either adult tickets or student tickets. The number of student tic
Gnoma [55]
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4 0
3 years ago
A straight line has the same gradient as y=3x+5 and it passes through the point (0,12).
Leokris [45]

Answer:

y = 3x + 12

Step-by-step explanation:

y = 3x + 5 has slope 5.

We need the equation of a line with slope 5 that passes through point (0, 12).

y - y1 = m(x - x1)

y - 12 = 3(x - 0)

y - 12 = 3x

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5 0
2 years ago
The variance can never bea.zerob.larger than the standard deviationc.negatived.smaller than the standard deviation
MrRa [10]

Answer:

c.negative

True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.

Step-by-step explanation:

We need to remember that the variance is a measure of dispersion for a dataset respect to a measure of central tendency called the mean. The mean is defined as:

\bar x = \frac{\sum_{i=1}^n X_i}{n}

And the population mean is given by:

\mu= \frac{\sum_{i=1}^n X_i}{N}

The population variance is defined by:

\sigma^2 = \frac{\sum_{i=1}^n (X_i -\mu)^2}{N}

And the sample variance is defined as:

s^2= \frac{\sum_{i=1}^n (X_i -\bar x)}{n-1}

Now if we analyze the options we have this:

a.zero

False, if all the values are the same then the mean would be the same to the values and the difference between each value and the mean would 0 and indeed the variance would be 0.

b.larger than the standard deviation

False, if the population standard deviation is \sigma=2 then the variance would be \sigma^2 = 4 and as we can see is higher than the standard deviation

c.negative

True, by definition since the variance take in count the differences around the mean squared, then we can't have a negative value for a sum of square values.

d.smaller than the standard deviation

False, if the population standard deviation is \sigma=0.1 then the variance would be \sigma^2 = 0.01 and as we can see is lower than the standard deviation

7 0
3 years ago
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