85% of all restaurants fail after one year.  Is that number different for Chinese restaurants?  Out of a random selection of 200 new Chinese restaurants, 175 had failed after one year. Use a 0.05 significance level to test your hypothesis.     What is the probability of Z obt? (Round to the nearest hundredth)

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Author:Amos Gilat
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85% of all restaurants fail after one year.  Is that number different for Chinese restaurants?  Out of a random selection of 200 new Chinese restaurants, 175 had failed after one year. Use a 0.05 significance level to test your hypothesis.     What is the probability of Z obt? (Round to the nearest hundredth)
**Question 6**

For this problem, you will need: pencil, paper, calculator, z-crit significance levels, and a NC probability calculator.

**Z-Crits for Common Significance Levels**
[Link to Google Document](https://docs.google.com/document/d/1kcDDA6ozfZcoeL0ghihjyJ4C09YKwSuQUGOTQLLpLdI/edit?usp=sharing)

**Normal Curve Probability Calculator**
[Link to Math Portal](https://www.mathportal.org/calculators/statistics-calculator/normal-distribution-calculator.php)

85% of all restaurants fail after one year. Is that number different for Chinese restaurants? Out of a random selection of 200 new Chinese restaurants, 175 had failed after one year. Use a 0.05 significance level to test your hypothesis.

What is the probability of \( Z_{obt} \) (round to the nearest hundredth)?

[Text box for answer]

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This section presents a problem to evaluate whether the failure rate for Chinese restaurants differs from the general failure rate of 85% for all restaurants. It includes links for tools required to calculate z-scores and probabilities for hypothesis testing.
Transcribed Image Text:**Question 6** For this problem, you will need: pencil, paper, calculator, z-crit significance levels, and a NC probability calculator. **Z-Crits for Common Significance Levels** [Link to Google Document](https://docs.google.com/document/d/1kcDDA6ozfZcoeL0ghihjyJ4C09YKwSuQUGOTQLLpLdI/edit?usp=sharing) **Normal Curve Probability Calculator** [Link to Math Portal](https://www.mathportal.org/calculators/statistics-calculator/normal-distribution-calculator.php) 85% of all restaurants fail after one year. Is that number different for Chinese restaurants? Out of a random selection of 200 new Chinese restaurants, 175 had failed after one year. Use a 0.05 significance level to test your hypothesis. What is the probability of \( Z_{obt} \) (round to the nearest hundredth)? [Text box for answer] --- This section presents a problem to evaluate whether the failure rate for Chinese restaurants differs from the general failure rate of 85% for all restaurants. It includes links for tools required to calculate z-scores and probabilities for hypothesis testing.
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