Incinerators can be a source of hazardous emissions into the atmosphere. Stack gas samples were collected from a sample of 30 incinerators in a major city and compared against the environmental standard. Of the 30 samples, only 18 passed the environmental test. Can it be concluded that fewer than half of the incinerators in the city meet the standard? State the null and alternate hypotheses (Ho and H₁). What is the P-value? At an 90% significance level, what is the conclusion? O(a) Ho: p ≤ 0.5, H₁: p > 0.5 O (b) Ho: p≥ 0.5, H₁: p < 0.5 O (c) Ho: p0.5, H₁: p0.5 (d) Ho: p > 0.5, H₁: p ≤ 0.5 O(e) Ho: p= 0.5, H₁: p0.5 O (f) Ho: p < 0.5, H₁: p≥ 0.5 P-value number (rtol=0.05, atol=0.0001) (a) Reject HO O (b) Cannot Reject HO ?

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### Analysis of Incinerator Compliance with Environmental Standards

#### Introduction

Incinerators can emit hazardous pollutants into the atmosphere. A study was conducted where stack gas samples from 30 incinerators in a major city were analyzed to determine compliance with environmental standards.

#### Hypothesis Testing for Compliance

**Sample Analysis:**  
Out of 30 samples, 18 passed the environmental test.

**Research Question:**  
Can we conclude that fewer than half of the incinerators meet the standard?

**Hypotheses:**

- Null Hypothesis (\(H_0\)): \(p \leq 0.5\)
- Alternate Hypothesis (\(H_1\)): \(p > 0.5\)

**P-value & Conclusion:**

- **P-value Input:** A box is provided for the user to input the P-value calculation with specified tolerances.
  
- The decision rule is:
  - (a) Reject \(H_0\)
  - (b) Cannot Reject \(H_0\)

**Significance Level:** 90%

#### Additional Analysis

**Question:**  
How many samples must pass to conclude that at least 70% of incinerators meet the standards?

**Hypotheses:**

- Null Hypothesis (\(H_0\)): \(p \geq 0.7\)
- Alternate Hypothesis (\(H_1\)): \(p < 0.7\)

**Determine Pass Threshold:**

- An input field is provided for calculating the number of samples (\(n_{\text{passed}}\)) that need to pass for the conclusion to hold.

Users are prompted to test hypotheses and are given multiple-choice options for hypothesis formulations, as well as input boxes to perform calculations and determine outcomes based on the significance level.
Transcribed Image Text:### Analysis of Incinerator Compliance with Environmental Standards #### Introduction Incinerators can emit hazardous pollutants into the atmosphere. A study was conducted where stack gas samples from 30 incinerators in a major city were analyzed to determine compliance with environmental standards. #### Hypothesis Testing for Compliance **Sample Analysis:** Out of 30 samples, 18 passed the environmental test. **Research Question:** Can we conclude that fewer than half of the incinerators meet the standard? **Hypotheses:** - Null Hypothesis (\(H_0\)): \(p \leq 0.5\) - Alternate Hypothesis (\(H_1\)): \(p > 0.5\) **P-value & Conclusion:** - **P-value Input:** A box is provided for the user to input the P-value calculation with specified tolerances. - The decision rule is: - (a) Reject \(H_0\) - (b) Cannot Reject \(H_0\) **Significance Level:** 90% #### Additional Analysis **Question:** How many samples must pass to conclude that at least 70% of incinerators meet the standards? **Hypotheses:** - Null Hypothesis (\(H_0\)): \(p \geq 0.7\) - Alternate Hypothesis (\(H_1\)): \(p < 0.7\) **Determine Pass Threshold:** - An input field is provided for calculating the number of samples (\(n_{\text{passed}}\)) that need to pass for the conclusion to hold. Users are prompted to test hypotheses and are given multiple-choice options for hypothesis formulations, as well as input boxes to perform calculations and determine outcomes based on the significance level.
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