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Karolina [17]
2 years ago
6

Help pleaseeeeee

Mathematics
1 answer:
Readme [11.4K]2 years ago
3 0

The point t is (22/4 , 7/4) which lie on the given line.

<h3>What is Section Formula?</h3>

Section formula is used to find the ratio in which a line segment is divided by a point internally or externally.

Here, Let (x, y) be the coordinates of point t.

given values

  x₁ = 1,    x₂ = 7,    y₁ = 4,    y₂ = 1,  m = 3 and n = 1

Point t lie on given line and divide the line in ratio 3:1.

Section Formula:

(x, y)      =        (\frac{mx_{2}+nx_{1}  }{m+n} , \frac{my_{2}+ny_{1}  }{m+n} )

(x, y)      =        (\frac{3.7+1.1  }{3+1} , \frac{3.1+1.4}{3+1} )

(x, y)      =        (\frac{22}{4}, \frac{7}{4} )

Thus, the point t is (22/4 , 7/4) which lie on the given line.

Learn more about Section Formula from:

brainly.com/question/21290957

#SPJ1

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Answer:

t=\frac{26.8-29.9}{\frac{2.7}{\sqrt{9}}}=-3.44    

df=n-1=9-1=8  

p_v =P(t_{(8)}  

Since the p value is lower than the significance level we have enough evidence to reject the null hypothesis and is not enough evidence to conclude that the claim is true.

Step-by-step explanation:

Data given

\bar X=26.8 represent the sample mean

s=2.7 represent the sample standard deviation

n=9 sample size  

\mu_o =29.9 represent the value that we want to test

\alpha=0.05 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

System of hypothesis

We need to conduct a hypothesis in order to check if the true mean exceed 29.9 or no, the system of hypothesis would be:  

Null hypothesis:\mu \geq 29.9  

Alternative hypothesis:\mu < 29.9  

The statistic is given by:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{26.8-29.9}{\frac{2.7}{\sqrt{9}}}=-3.44    

P-value

The degrees of freedom are given by:  

df=n-1=9-1=8  

Since is a one sided test the p value would be:  

p_v =P(t_{(8)}  

Conclusion  

Since the p value is lower than the significance level we have enough evidence to reject the null hypothesis and is not enough evidence to conclude that the claim is true.

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Step-by-step explanation:


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