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padilas [110]
4 years ago
6

which of the following best describes the technique used to graph the equation using the slope and y-intercept ? Y=5x+10

Mathematics
2 answers:
Anarel [89]4 years ago
6 0

Answer:

Mark a point at 10 on the y-axis, go up 5 and right one and mark this point.

Step-by-step explanation:

Vinvika [58]4 years ago
5 0
The slope-intercept is y = mx+b. You can use this as a technique for graphing to make the experience easier. The "5" would be the slope or rise/run of the line. The 10 would be where it started on the y-intercept. You could also say it would be (0,10). Since the slope is positive than it would be going in an upward direction. That is why this technique is good for graphing. I hope this helps you and please put me as the brainliest answer. :)
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Answer:

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Step-by-step explanation:

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4 0
2 years ago
Sodas in a can are supposed to contain an average 12 oz. This particular brand has a standard deviation of 0.1 oz, with an avera
hoa [83]

Answer:

The probability is  P(X <  12) =  0.99286

Step-by-step explanation:

From the question we are told that

        The population mean is \mu  =  12 \ oz

         The  standard deviation is  \sigma =  0.1 \ oz

          The sample mean is  \= x =  12.1 \ oz

          The sample size is  n = 6 packs

   

The standard error of the mean is mathematically represented as

              \sigma_{\= x } =  \frac{\sigma}{\sqrt{n} }

substituting values

            \sigma_{\= x } =  \frac{0.1}{\sqrt{6} }

            \sigma_{\= x } =  0.0408

Given that the can’s contents follow a Normal distribution then then  the probability that the mean contents of a six-pack are less than 12 oz is mathematically represented as

         P(X <  12) =  P ( \frac{X - \mu }{ \sigma_{\= x }}  < \frac{\= x - \mu }{ \sigma_{\= x }}  )

Generally  \frac{X  - \mu }{ \sigma_{ \= x }}   =  Z (The  \ standardized \  value \ of  \ X )

So

         P(X <  12) =  P ( Z < \frac{\= x - \mu }{ \sigma_{\= x }}  )

substituting values

       P(X <  12) =  P ( Z < \frac{12.2 -12 }{0.0408}  )

      P(X <  12) =  P ( Z < 2.45   )

From the normal distribution table the value of P ( Z < 2.45   ) is  

           P (Z < 2.45)0.99286

=>   P(X <  12) =  0.99286

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