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pshichka [43]
3 years ago
12

Can you write this equation in point-slope form? y = ½x + 4?

Mathematics
1 answer:
Svet_ta [14]3 years ago
4 0
Yes.  This equation given:
______________________________
   " y = (½)x + 4 " ;  in point-slope form; also known as: "slope-intercept form" ; is:
______________________________________
    " y = (½)x + 4 " .
______________________________________
In other words, the equation given is ALREADY written in "point-slope form" ; or, "slope-intercept form".
______________________________________
Note:   An equation that is written in "point-slope form"
             (or, "slope-intercept form"), is written in the format of:
______________________________________
" y = mx + b " ;_________________
in which:_________________
"y" is a single, "stand-alone" variable on the "left-hand side of the equation"; "m" is the coefficient of "x"; also:
"m" is the slope of the line; which is what we want to solve for;
"b" is the "y-intercept"; or more precisely, the value of "x"
(that is; the "x-coordinate") of the point at which "y = 0";
that is, the value of "x" ; or the "x-coordinate" of the point at which
the graph of the equation crosses the "x-axis".
______________________________________
Note that in our given equation, which is written in "point-slope form" (or, "slope-intercept form" — that is:  " y = mx + b "  ;
_______________________________________
which is:  " y = (½)x + 4 " ;
_______________________________________
we have:
_______________________________________
  "y" isolated as "stand-alone" variable on the "left-hand side" of the equation;

  m = ½ ;
  b =  4 .
_______________________________________

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Answer:

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Consider the probability that greater than 90 out of 149 software users will not call technical support. Assume the probability
Artemon [7]

Answer:

  0.1220

Step-by-step explanation:

You want the probability that greater than 90 out of 149 software users will not call tech support, given that the probability a given user will not call is 56%. You want the value using the normal approximation to the binomial distribution.

<h3>Normal approximation</h3>

For a sample size of n, and probability p of "success", the normal approximation to the binomial distribution can be used if ...

  min(pn, (1-p)n) > 5

Here, that is ...

  min(0.56·149, 0.44·149) > 5

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Then the parameters of the normal distribution are ...

  µ = pn = 0.56·149 = 83.44

  σ = √((1-p)µ) = √(0.44·83.44) ≈ 6.0592

<h3>Continuity correction factor</h3>

The probability that X = N will occur can be considered to be ...

  P(N -0.5 < X < N +0.5)

Then the probability that X > N will be modeled using the normal distribution as ...

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For this problem, we want ...

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The attached calculator shows that value to be ...

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__

<em>Additional comment</em>

A probability calculator says the actual binomial distribution result for this problem is 0.1217.

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