Testing the Assumption of Car Model's km/L Performance

In summary, the conversation is discussing the formulation of a hypothesis and test for the assumption that a specific car model can travel at least 120 km with 1 L of gasoline. The null hypothesis is that the mean is equal to 120 km and the alternative hypothesis is that the mean is greater than or equal to 120 km. The test is one-sided and the confidence level at which the assumption can be rejected is not specified.
  • #1
mathmari
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Hey! :giggle:

Some people assume that a specific car model does at least $\mu_0=120$ km with $1$ Lt benzin.

$10$ independent tests give the following results: $$104, \ 96, \ 80, \ 100, \ 108, \ 100, \ 112, \ 120, \ 130, \ 132$$

(a) Give the Null Hypothesis $H_0$ and the alternative Hypothesis $H_1$, for the test of that assumption.

(b) Give the statistic function of that test.

(c) late the p-value of the test.

(d) In what confidence level can the assumption be rejected?
For (a) is the null hypothesis $H_0: \ m_0=120$ and the alternative $H_1: \ \mu_1\neq 120$ ?
 
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  • #2
mathmari said:
Some people assume that a specific car model does at least $\mu_0=120$ km with $1$ Lt benzin.

(a) Give the Null Hypothesis $H_0$ and the alternative Hypothesis $H_1$, for the test of that assumption.

For (a) is the null hypothesis $H_0: \ m_0=120$ and the alternative $H_1: \ \mu_1\neq 120$ ?
Hey mathmari!

The assumption says "at least". We're not covering that with $\mu_1\ne 120$. 🤔
 
  • #3
Klaas van Aarsen said:
The assumption says "at least". We're not covering that with $\mu_1\ne 120$. 🤔

So the assumption should be at the alternative hypothesis, or not?

So is it $H_1: \ \mu_1\geq 120$ ? :unsre:
 
  • #4
mathmari said:
So the assumption should be at the alternative hypothesis, or not?

So is it $H_1: \ \mu_1\geq 120$ ? :unsre:
Yep. (Nod)

Generally, if the problem statement contains a word like "less than", "more", or "at least", then we need an inequality in the alternative hypothesis.
It also means that the test is "one-sided". 🧐
 

FAQ: Testing the Assumption of Car Model's km/L Performance

What is the purpose of testing the assumption of a car model's km/L performance?

The purpose of testing the assumption of a car model's km/L performance is to determine the accuracy of the manufacturer's claimed fuel efficiency. This is important for consumers to know before making a purchase, as well as for researchers and policymakers to understand the real-world impact of a car's fuel efficiency.

How is the assumption of a car model's km/L performance tested?

The assumption of a car model's km/L performance is typically tested by conducting a series of controlled experiments. This involves driving the car under various conditions and measuring the actual fuel consumption to compare it with the expected fuel efficiency based on the manufacturer's claims.

What factors can affect a car model's km/L performance?

There are several factors that can affect a car model's km/L performance, including driving habits, road conditions, weather, and vehicle maintenance. These factors can cause variations in fuel efficiency and may impact the results of the assumption testing.

Are there any limitations to testing the assumption of a car model's km/L performance?

Yes, there are some limitations to testing the assumption of a car model's km/L performance. For example, the results may not accurately reflect real-world driving conditions, as the experiments are conducted in a controlled environment. Additionally, the fuel efficiency may vary over time as the car ages and undergoes wear and tear.

How can the results of the assumption testing be used?

The results of the assumption testing can be used to inform consumers about the actual fuel efficiency of a car model and to guide their purchasing decisions. They can also be used by researchers and policymakers to understand the impact of a car's fuel efficiency on the environment and to make informed decisions about regulations and policies related to fuel consumption.

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