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Lena [83]
3 years ago
12

The coordinates of triangle ABC are A(−4, 3), B(2, 3), and C(4, −1). A line segment runs through the triangle with endpoints Y(0

, 1) and Z(3, 1). If triangle ABC is dilated by a scale factor of 2 creating the new triangle of A′B′C′, what can you say about the length of line segment Y′Z′?
Mathematics
1 answer:
-BARSIC- [3]3 years ago
4 0

We can say that the length of line segment Y'Z' will increase by a scale factor of 2.

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14.08 that’s if in this case “of” means multiply hope this helps
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When two computers are working together, they can finish updating software in 9 minutes. How long would they take individually t
tensa zangetsu [6.8K]
First computer takes x min. For 1 min it does 1/x part of work.

Second computer takes (x+24) min. For one min it does 1/(x+24) part of work.

Both computers for one min do   (1/x+1/(x+24)) part of work.

At the same time, both computers for one min do 1/9 part of work.

\frac{1}{x} + \frac{1}{x+24} = \frac{1}{9} 
\\ \\  \frac{x+24+x}{x(x+24)} =  \frac{1}{9} 
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\\ \\ D=b^{2}-4ac=36+4*216 = 900
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We can use only positive number here. So, 

for the first computer x=12 min,

 for second computer x+24=12+24= 36 min

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Answer:

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Answer:

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can say that the population mean is not singificantly higher than 425.  

Step-by-step explanation:

Data given and notation  

\bar X=433.75 represent the mean height for the sample  

\sigma=\sqrt{2500}=50 represent the population standard deviation for the sample  

n=100 sample size  

\mu_o =425 represent the value that we want to test

\alpha=0.01 represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

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

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean height actually is higher than the mean height for men in 1960, the system of hypothesis would be:  

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Alternative hypothesis:\mu > 425  

Since we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

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z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

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

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P-value

Since is a one right tail test the p value would be:  

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Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can say that the population mean is not singificantly higher than 425.  

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4 years ago
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