We believe that the percentage of our company fleet cars that will pass inspection is 80%. We decide to run a test to see if it is 80% or if it isn't. We sample 20 cars and find that 17 will pass. What's the conclusion from our test at a 10% alpha level? ail to reject and conclude that p > 0.8 onclusive, since the experiment doesn't meet normality requirements t and conclude that p < 0.8 reject and conclude that p = 0.8 he null and state that p=98

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Author:Amos Gilat
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**Hypothesis Testing Example**

We believe that the percentage of our company fleet cars that will pass inspection is 80%. We decide to run a test to see if it is 80% or if it isn’t. We sample 20 cars and find that 17 will pass.

**What's the conclusion from our test at a 10% alpha level?**

- ○ Fail to reject and conclude that p > 0.8
- ○ Inconclusive, since the experiment doesn’t meet normality requirements
- ○ Reject and conclude that p < 0.8
- ○ Fail to reject and conclude that p = 0.8
- ○ Accept the null and state that p = 0.8

**Explanation:** 

This exercise examines the hypothesis regarding the proportion of cars passing inspection. A statistical test is conducted with a 10% significance level to determine whether the hypothesized rate of 80% is valid based on the sample of 20 cars. The conclusion involves choosing one of the provided options based on statistical analysis results.
Transcribed Image Text:**Hypothesis Testing Example** We believe that the percentage of our company fleet cars that will pass inspection is 80%. We decide to run a test to see if it is 80% or if it isn’t. We sample 20 cars and find that 17 will pass. **What's the conclusion from our test at a 10% alpha level?** - ○ Fail to reject and conclude that p > 0.8 - ○ Inconclusive, since the experiment doesn’t meet normality requirements - ○ Reject and conclude that p < 0.8 - ○ Fail to reject and conclude that p = 0.8 - ○ Accept the null and state that p = 0.8 **Explanation:** This exercise examines the hypothesis regarding the proportion of cars passing inspection. A statistical test is conducted with a 10% significance level to determine whether the hypothesized rate of 80% is valid based on the sample of 20 cars. The conclusion involves choosing one of the provided options based on statistical analysis results.
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