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Juli2301 [7.4K]
2 years ago
6

Graph the line y = kx +1 given that point M belongs to the line. M(2, -7)

Mathematics
1 answer:
IgorC [24]2 years ago
8 0
Lol I like your da baby pfp.

Oh, and the answer is y = -4x + 1

Here’s the graph:

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James wants to build a frame around a circular clock like the one shown. He is trying to determine how much material he needs to
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22

Step-by-step explanation:

Just did it

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PLS HELP I ONLY HAVE 5 MIN
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I know this isn't really help but Desmos is a good place to help you with stuff like this.

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Answer this and add work, show all work for math. :P
Andreyy89
Lines are in the form y=mx+b, where m is the slope and b is the y-intercept.  This line is thus y=9/4x-14, so C is correct.  Multiplying by four, we get 4y=9x-56.  Adding 56 and subtracting 4y, we see that 9x-4y=56, and multiplying by -1, we get 4y-9x=-56, so A is also correct.  At this point, it is clear that B and D are incorrect, so A and C only are correct.
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3 years ago
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Assume the random variable X is normally distributed with mean 53 and standard deviation of 6. Find the 9th percentile
satela [25.4K]

Answer:

<em>The 9th percentile of X is 44.96</em>

Step-by-step explanation:

<u>Percentiles for a Normal Distribution</u>

The standard normal distribution can be used for computing percentiles. For example, the median is the 50th percentile being the center value, the first quartile is the 25th percentile, and so on.

To compute percentiles of a normal distribution we can use the formula

X=\mu+z\sigma

Where \mu is the mean, \sigma is the standard deviation of the variable X, and z is the z-score value from the standard tables

The value of X can also be directly obtained from digital tables included in math packages and tools like Excel.

The Excel NORM.INV Function calculates the inverse of the cumulative Normal Distribution Function for a given value of p, \mu and \sigma.

We'll use the values

p=9\%=0.09,\ \mu=53, \ \sigma=6

NORM.INV(0.09,53,6) results in 44.96 which means the 9th percentile of X is 44.96

We could have used the standard normal distribution, which only needs the value of p

NORM.S.INV( 0.09 )=-1.34

That is the value of z, we now apply the formula

X=\mu+z\sigma

X=53+(-1.34)\cdot 6=44.96

We get the very same result as before

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3 years ago
Given f(x) = x − 7 and g(x) = x^2 . Find g(f(4)).
garri49 [273]
So basically -3 x 16. Yeilds -48
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3 years ago
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