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saul85 [17]
3 years ago
14

What is the slope?

Mathematics
1 answer:
V125BC [204]3 years ago
6 0

Answer:

2

Step-by-step explanation:

For this I would find two friendly points like (60,10) and (70,30). Now we will plug in for the slope-intercept formula m=\frac{y_2-y_1}{x_2-x_1}.

So...

y_2=30\\y_1=10\\x_2=70\\x_1=60

Now we plug in and solve...

m=\frac{y_2-y_1}{x_2-x_1}\\m=\frac{30-10}{70-60}\\m=\frac{20}{10}\\m=\frac{2}{1}=2

So the slope will be 2.

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The amount of lateral expansion (mils) was determined for a sample of n = 7 pulsed-power gas metal arc welds used in LNG ship co
zvonat [6]

Answer:

95% Confidence interval for σ2 and for σ is (3.33 , 38.85) and (1.82 , 6.23) respectively.

Step-by-step explanation:

We are given that the amount of lateral expansion (mils) was determined for a sample of n = 7 pulsed-power gas metal arc welds used in LNG ship containment tanks. The resulting sample standard deviation was s = 2.83 mils.

Assuming data follows normal distribution.

So, firstly the pivotal quantity for 95% confidence interval for the population variance is given by;

        P.Q. = \frac{(n-1)s^{2} }{\sigma^{2} } ~ \chi^{2} __n_-_1

where, s = sample standard deviation = 2.83 mils

          \sigma^{2} = population variance

           \sigma = population standard deviation

           n = sample size = 7

<em>So, 95% confidence interval for population variance, </em>\sigma^{2} <em>is;</em>

P(1.237 < \chi^{2} __n_-_1 < 14.45) = 0.95 {As the table of at 6 degree of freedom

                                                     gives critical values of 1.237 & 14.45}

P(1.237 < \frac{(n-1)s^{2} }{\sigma^{2} } < 14.45) = 0.95

P( \frac{ 1.237}{(n-1)s^{2} } < \frac{1 }{\sigma^{2} } < \frac{ 14.45}{(n-1)s^{2} } ) = 0.95

P( \frac{ (n-1)s^{2}}{14.45 } < \sigma^{2} < \frac{ (n-1)s^{2}}{1.237 } ) = 0.95

95% confidence interval for \sigma^{2} = ( \frac{ (n-1)s^{2}}{14.45 }  , \frac{ (n-1)s^{2}}{1.237 }  )

                                                  = ( \frac{ (7-1) \times 2.83^{2}}{14.45 } , \frac{ (7-1) \times 2.83^{2}}{1.237 } )

                                                  = (3.33 , 38.85)

95% C.I. for population standard deviation, \sigma  = ( \sqrt{3.33} , \sqrt{38.85} )

                                                                            = (1.82 , 6.23)

Therefore, 95% confidence interval for the population variance (σ2) and population standard deviation (σ) are (3.33 , 38.85) and (1.82 , 6.23) respectively.

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