432 divide by 3. then multiply by two equals 288.
If x > 0 then |x|/x = 1 !!!
If x<0 then |x|/x = -1
*below is an explanation! :)
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- I found the answer to this by choosing a any number that satisfies the requirement of x > 0 and plugging it into |x|/x
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Watch this!
Let's take 10 for example. 10 is greater than 0 like x>0 requires!
Let's plug it into |x|/x
|10| ÷ 10 = 1
*Remember that | | this means "absolute value" or whatever is in between the two bars will always be positive (+)
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Now let's take a random number that satisfies 0> x and do the same as we did above!
Let's take -3 and plut it into |x|/x
|-3| ÷ -3 = -1
(-4,15),(-7,10)
slope = (10 - 15) / (-7 - (-4) = -5 / (-7 + 4) = -5 / -3 = 5/3
there can be 2 answers to this...depending on the point u use...
y - y1 = m(x - x1)
slope(m) = 5/3
using point (-4,15)...x1 = -4 and y1 = 15
now we sub
y - 15 = 5/3(x - (-4)..not done yet
y - 15 = 5/3(x + 4) <=== this is one answer
y - y1 = m(x - x1)
slope(m) = 5/3
using point (-7,10)....x1 = -7 and y1 = 10
now we sub
y - 10 = 5/3(x - (-7)...not done yet
y - 10 = 5/3(x + 7) <=== and here is the other answer
Answer:
c. normal probability distribution
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation 
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean 
and standard deviation 
In this question:
By the Central Limit Theorem, it is a normal distribution, so option c.
