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zimovet [89]
3 years ago
13

Amber and Austin were driving the same route from college to their home town. Amber left 2 hours before Austin. Amber drove at a

n average speed of 55 mph, and Austin averaged 75 mph per hour. After how many hours did Austin catch up with Amber?
Mathematics
2 answers:
Delicious77 [7]3 years ago
8 0

Answer:

7.5 hours

Step-by-step explanation:

<u>1 method:</u>

Amber drove at an average speed of 55 mph.

Austin averaged 75 mph per hour.

The difference in speed is 20 mph, this means that each hour Austin drove 20 miles more.

Amber drove 110 miles in 2 hours, then Austin needs 110:2=5.5 hours to catch Amber, so in total after 5.5+2=7.5 hours Austin will catch up Amber.

<u>2 method:</u>

Let t hours be the time Amber was driving, then t-2 hours ia Austin's time.

Amber distance = 55t miles

Austin's distance = 75(t-2) miles

When Austin caught up with Amber, their distances are the same:

55t=75(t-2)\\ \\55t=75t-150\\ \\75t-55t=150\\ \\20t=150\\ \\t=7.5\ hours.

iren [92.7K]3 years ago
4 0

Answer: 7.5 hours

Step-by-step explanation:

Let x denote the number of hours taken by Amber was driving, then the time taken by Austin will be x-2 hours.

Since, \text{Distance=Speed*time}

According to the question,

Distance traveled by Amber=55x

Distance traveled by Austin=75(x-2)

Also, when Austin caught up with Amber, their distances should be same.

i.e. 75(x-2)=55x

75x-150=55x\\\\\Rightarrow\ 20x=150\\\\\Rightarrow\ x=7.5\text{ hours}

Hence, after 7.5 hours Austin caught up with Amber.

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Answer:

t=\frac{669-634}{\frac{732}{\sqrt{1700}}}=1.971    

p_v =2*P(t_{(1699)}>1.971)=0.049  

If we compare the p value and the significance level given \alpha=0.1 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 634 at 10% of signficance.

Step-by-step explanation:

Data given and notation  

\bar X=669 represent the sample mean

s=732 represent the sample standard deviation

n=1700 sample size  

\mu_o =68 represent the value that we want to test

\alpha=0. 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)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is different from 634, the system of hypothesis would be:  

Null hypothesis:\mu = 634  

Alternative hypothesis:\mu \neq 634  

If we analyze the size for the sample is > 30 but we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

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

t-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:  

t=\frac{669-634}{\frac{732}{\sqrt{1700}}}=1.971    

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=1700-1=1699  

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

p_v =2*P(t_{(1699)}>1.971)=0.049  

Conclusion  

If we compare the p value and the significance level given \alpha=0.1 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the true mean is different from 634 at 10% of signficance.

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