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Olegator [25]
3 years ago
10

A map of a highway has a scale of 2 inches =39 miles. The length of the highway on the map is 6 inches. There are 11 rest stops

equally spaced on the​ highway, including one at each end. You are making a new map with a scale of 1 inch =30 miles. How far apart are the rest stops on the new​ map?
Mathematics
1 answer:
wolverine [178]3 years ago
8 0
Find the distance of the rest stop in the original map

Divide by 6 because there are 7 rest stop
Find the real distance of the rest stop using proportion

step 2
Find the distance of the rest stop in the new map
using proportion
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Step-by-step explanation:

Data given and notation

n=80 represent the random sample taken

X=44 represent the students that have bought merchandise on-line at their site

\hat p=\frac{44}{80}=0.55 estimated proportion of graduate students show that only 44 students have ever done so

p_o=0.6 is the value that we want to test

\alpha represent the significance level

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion of interest is lower than 0.6 or 60%, so then the system of hypothesis are.:  

Null hypothesis:p \geq 0.6  

Alternative hypothesis:p < 0.6  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.55 -0.6}{\sqrt{\frac{0.6(1-0.6)}{80}}}=-0.913  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level assumed for this case is \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(z  

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