Calculate the test statistic. t-0 (Round to three decimal places as needed.)

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Please show how to find the test statistic.

**Title: Statistical Analysis of Microwave Popcorn Popping Efficiency**

**Introduction:**
Josh conducted an experiment to determine the optimal power and time settings for microwave popcorn. His aim was to achieve a result where fewer than 11% of the popcorn kernels remained unpopped. After various trials, he found that setting the microwave to power 9 for 4 minutes yielded the best results.

**Part A: Error Analysis**
Josh concluded this popping method achieved his goal of fewer than 11% unpopped kernels. If, in reality, the method does not work that well, the error Josh made is a **Type I error** (False positive).

**Part B: Testing the Hypothesis**
To verify the method's success, Josh performed additional tests by popping 8 more bags of popcorn at the same setting. The following are the percentages of unpopped kernels from these tests: 

- 12.4%, 2.9%, 8.6%, 8.1%, 13.4%, 3.2%, 2.7%, 9.5%

**Research Question:**
Does this data support Josh's hypothesis that the average percentage of unpopped kernels is fewer than 11%?

**Hypotheses:**
To determine this, we formulate the null and alternative hypotheses as follows:
- **Null hypothesis (\(H_0\))**: \( \mu \geq 11 \)
- **Alternative hypothesis (\(H_A\))**: \( \mu < 11 \) 

**Choose the Correct Hypotheses:**
- **A.** \(H_0: \mu = 11 \) \( H_A: \mu < 11 \) (Correct)
- B. \(H_0: \mu \neq 11 \) \( H_A: \mu = 11 \)
- C. \(H_0: \mu = 11 \) \( H_A: \mu \neq 11 \)
- D. \(H_0: \mu = 11 \) \( H_A: \mu > 11 \)
- E. \(H_0: \mu \leq 11 \) \( H_A: \mu = 11 \)
- F. \(H_0: \mu > 11 \) \( H_A: \mu = 11 \)

**Calculate the Test Statistic:**
Using the collected data, calculate
Transcribed Image Text:**Title: Statistical Analysis of Microwave Popcorn Popping Efficiency** **Introduction:** Josh conducted an experiment to determine the optimal power and time settings for microwave popcorn. His aim was to achieve a result where fewer than 11% of the popcorn kernels remained unpopped. After various trials, he found that setting the microwave to power 9 for 4 minutes yielded the best results. **Part A: Error Analysis** Josh concluded this popping method achieved his goal of fewer than 11% unpopped kernels. If, in reality, the method does not work that well, the error Josh made is a **Type I error** (False positive). **Part B: Testing the Hypothesis** To verify the method's success, Josh performed additional tests by popping 8 more bags of popcorn at the same setting. The following are the percentages of unpopped kernels from these tests: - 12.4%, 2.9%, 8.6%, 8.1%, 13.4%, 3.2%, 2.7%, 9.5% **Research Question:** Does this data support Josh's hypothesis that the average percentage of unpopped kernels is fewer than 11%? **Hypotheses:** To determine this, we formulate the null and alternative hypotheses as follows: - **Null hypothesis (\(H_0\))**: \( \mu \geq 11 \) - **Alternative hypothesis (\(H_A\))**: \( \mu < 11 \) **Choose the Correct Hypotheses:** - **A.** \(H_0: \mu = 11 \) \( H_A: \mu < 11 \) (Correct) - B. \(H_0: \mu \neq 11 \) \( H_A: \mu = 11 \) - C. \(H_0: \mu = 11 \) \( H_A: \mu \neq 11 \) - D. \(H_0: \mu = 11 \) \( H_A: \mu > 11 \) - E. \(H_0: \mu \leq 11 \) \( H_A: \mu = 11 \) - F. \(H_0: \mu > 11 \) \( H_A: \mu = 11 \) **Calculate the Test Statistic:** Using the collected data, calculate
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