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amm1812
3 days ago
9

While driving home for the holidays, you can’t seem to get Little’s Law out of your mind. You note that your average speed of tr

avel is about 60 miles per hour. Moreover, the traffic report from the WXPN traffic chopper states that there is an average of 24 cars going in your direction on a one-quarter mile part of the highway. What is the flow rate of the highway (going in your direction) in cars per hour?
Mathematics
1 answer:
Svet_ta [4.3K]3 days ago
7 0

Answer:

1,200 cars per hour

Step-by-step explanation:

Assuming a steady flow of vehicles, as noted in the scenario.

If we imagined a counter at your position, there would be 25 cars within a quarter-mile, including your vehicle, all traveling at your speed.

Next, let's determine how long it takes to cover that quarter-mile distance. With your velocity at 60 mph, we can set up a proportion:

60 miles -----------> 1 hour

¼ of a mile --------> x hours

Then we can calculate:

60/ (¼) = 1/x ---------> x = 1/240 hours.

This indicates that in 1/240 hours, all 25 cars pass by the counter.

Now, let's find how many cars pass the counter in one hour. By cross-multiplying, we get:

1/240 hours -------> 25 cars

1 hour --------------> x cars

Thus, we have 1/240 = 25/x -------> x = 25*240 = 1,200 cars.

The highway's flow rate in the direction you are heading is 1,200 cars per hour.

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Answer:

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c) p_v =P(t_{17}

In this case, since the p-value exceeds the significance threshold, we have adequate evidence to FAIL to reject the null hypothesis.

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Here again, with the p-value being less than the significance level, we can reject the null hypothesis.

Step-by-step explanation:

1) Provided data and references

\bar X represents the average of the samples

s denotes the standard deviation of the samples

n=18 indicates the number of samples

\mu_o =10 is the value we are examining

\alpha defines the significance level for the test.

t represents the specific statistic of interest

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To assess if the true mean is at least 10 hours, we must set up a hypothesis:

Part a

Null hypothesis:\mu \geq 10

Alternative hypothesis:\mu < 10

If we consider the sample size being less than 30 and the population deviation unknown, it’s more appropriate to use a t-test to compare the actual mean with the reference value, calculated as:

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Part b

In this scenario t=-2.3, \alpha=0.05

Initially, we need to calculate the degrees of freedom df=n-1=18-1=17

Since this is a left-tailed test, the p-value is determined by:

p_v =P(t_{17}

In this instance, with the p-value being less than the significance level, we have sufficient evidence to reject the null hypothesis.

Part c

For this situation t=-1.8, \alpha=0.01

We need to find the degrees of freedom df=n-1=18-1=17

For the left-tailed test, the p-value is given by:

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In this case, since the p-value is above the significance level, we have enough grounds to FAIL to reject the null hypothesis.

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For this case t=-3.6, \alpha=0.05

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Since we are conducting a left-tailed test, the p-value is calculated as:

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An open interval (or) indicates excluded numbers, while a closed interval [or] shows included numbers.

In this scenario, we notice three key numbers: -5, -1, and 4.

It is explicit that -1 and 4 are excluded, though -5 is not indicated as excluded, hence it remains included.

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Consequently, we can represent the interval notation from -5 to -1. (Note: -5 is included and -1 is not).

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