Solve for x: 4 over x plus 4 over quantity x squared minus 9 equals 3 over quantity x minus 3?
Answers
4 / x + 4 / [( x - 3) ( x + 3 )] = 3 / ( x - 3 ) / * x ( x - 3 ) ( x + 3 )
Restrictions : x ≠ 0, x ≠ - 3 , x ≠ 3;
4 ( x + 3 ) ( x - 3 ) + 4 x = 3 x ( x + 3 )
4 ( x² - 9 ) + 4 x = 3 x² + 9 x
4 x² - 36 + 4 x - 3 x² - 9 x = 0
x² - 5 x - 36 = 0
x² - 9 x + 4 x - 36 = 0
x ( x - 9 ) + 4 ( x - 9 ) = 0
( x - 9 ) ( x + 4 ) = 0
x - 9 = 0, or : x + 4 = 0
Answer:
x = 9, x = - 4
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9+16x1x16-8
9+256-8
265-8
257
Answer:2
Step-by-step explanation:
i got it wrong
Answers
I need answer this whit steps.
pls.
Answers
Step-by-step explanation:
6+3((4-2(4-7))
1. 6+3((2(4-7))
2. 6+3((2(*-3)
3. 6+3(-6)
4. 6+(3*-6)
5. 6+-18
6. -12
y = 7x + 4
Answers
The y-intercept is 4.
What is linear equation?
A linear equation is defined as an equation in which the highest power of the variable is always one.
GIven equation,
y = 7x+4
Comparing to the equation of Line y=mx+b,
Whereas the y-intercept is the b.
So, 7 is the slope and 4 is the y-intercept
Hence the y-intercept is 4.
Learn more about linear equation
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Answers
Answers
You can find the standard error with a formula:
SEM = s / √n, where s is the standard deviation and n is the sample size;
SEM = 6 / √50 = 6 / 7.071
Answer:
SEM = 0.8485
Final answer:
The standard error is calculated as the standard deviation divided by the square root of the sample size. For a population with a standard deviation of 6 and a sample size of 50, the standard error is 6 / sqrt(50).
Explanation:
The standard error can be defined as the standard deviation divided by the square root of the number of samples. It helps to estimate the variability in the population. In this case, the mean is 64, the standard deviation is 6, and the sample size is 50. The equation to calculate the standard error is:
Plugging in the values given in the question, we get:
. After performing the division, you will get the standard error of the mean which tells you how far your sample mean could be from the true population mean.
Learn more about Standard Error here:
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