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AnnyKZ [126]
3 years ago
12

Graph y = 2x + 5. Need help ASAP plz and thank you

Mathematics
2 answers:
soldi70 [24.7K]3 years ago
8 0

Answer:

*see graph below*

Step-by-step explanation:

y = mx + b

m = slope (rise over run)

b = y-intercept

Corresponding with the given equation, the graph below has a y-intercept of 5, and a slope of \frac{2}{1} or 2.

andrezito [222]3 years ago
6 0

Answer:

Below

Step-by-step explanation:

i'll explain how to get the x and y intercepts and then u can graph it :). Also it'll help you with future questions like this rather than just looking at a graph

To find the x intercept:

Sub y for 0 : 0 = 2x + 5

Move variables : -2x = 5

Divide both sides by -2 : x = -5/2

The x intercept (which is the horizontal line) is -5/2 or -2.5

To find the y intercept:

Sub x for 0 : y = (2)(0) + 5

Solve for y : y = 5

The y intercept (which is the vertical line) is 5

now to find the slope so you can graph it

y = mx + b

y = 2x + 5

Therefore the slope (m) is 2.  

hope this help

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Answer:

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Have a nice day!

     I hope this is what you are looking for, but if not - comment! I will edit and update my answer accordingly. (ノ^∇^)

- Heather

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Answer:

(a) A 95% confidence interval for the population mean is [433.36 , 448.64].

(b) A 95% upper confidence bound for the population mean is 448.64.

Step-by-step explanation:

We are given that article contained the following observations on degrees of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range:

420, 425, 427, 427, 432, 433, 434, 437, 439, 446, 447, 448, 453, 454, 465, 469.

Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;

                              P.Q.  =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample mean = \frac{\sum X}{n} = 441

            s = sample standard deviation = \sqrt{\frac{\sum (X-\bar X)^{2} }{n-1} }  = 14.34

            n = sample size = 16

            \mu = population mean

<em>Here for constructing a 95% confidence interval we have used One-sample t-test statistics as we don't know about population standard deviation.</em>

<em />

<u>So, 95% confidence interval for the population mean, </u>\mu<u> is ;</u>

P(-2.131 < t_1_5 < 2.131) = 0.95  {As the critical value of t at 15 degrees of

                                             freedom are -2.131 & 2.131 with P = 2.5%}  

P(-2.131 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 2.131) = 0.95

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P( \bar X-2.131 \times {\frac{s}{\sqrt{n} } } < \mu < \bar X+2.131 \times {\frac{s}{\sqrt{n} } } ) = 0.95

<u>95% confidence interval for</u> \mu = [ \bar X -2.131 \times {\frac{s}{\sqrt{n} } } , \bar X +2.131 \times {\frac{s}{\sqrt{n} } } ]

                                      = [ 441-2.131 \times {\frac{14.34}{\sqrt{16} } } , 441+2.131 \times {\frac{14.34}{\sqrt{16} } } ]

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