MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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The image contains two sections. 

### 1. Schedule Table

- **Days of the Week:** The table lists days from Monday to Saturday.
- **Columns:**
  - TIME
  - SUBJECT
  - ROOM
  - INSTR (Instructor)

Each day has its own set of columns labeled as above, possibly for scheduling classes.

### 2. Hypothesis Test Example

Below the table, there is a statistical test question and calculation:

- **Hypothesis Test:**
  - Null Hypothesis (H0): \( p_1 - p_2 \leq 0 \)
  - Alternative Hypothesis (H1): \( p_1 - p_2 > 0 \)

- **Sample Results:**
  - Sample 1: 
    - \( n_1 = 200 \)
    - \( \hat{p}_1 = 0.24 \)
  - Sample 2:
    - \( n_2 = 300 \)
    - \( \hat{p}_2 = 0.14 \)

- **Task:**
  - Calculate the test statistic (Round the answer to two decimal places).
  - Calculation shown as "2.86" marked with an X, indicating a possible error: "You may have rounded in the wrong direction."

This section illustrates the process of conducting and calculating a hypothesis test with given sample data.
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Transcribed Image Text:The image contains two sections. ### 1. Schedule Table - **Days of the Week:** The table lists days from Monday to Saturday. - **Columns:** - TIME - SUBJECT - ROOM - INSTR (Instructor) Each day has its own set of columns labeled as above, possibly for scheduling classes. ### 2. Hypothesis Test Example Below the table, there is a statistical test question and calculation: - **Hypothesis Test:** - Null Hypothesis (H0): \( p_1 - p_2 \leq 0 \) - Alternative Hypothesis (H1): \( p_1 - p_2 > 0 \) - **Sample Results:** - Sample 1: - \( n_1 = 200 \) - \( \hat{p}_1 = 0.24 \) - Sample 2: - \( n_2 = 300 \) - \( \hat{p}_2 = 0.14 \) - **Task:** - Calculate the test statistic (Round the answer to two decimal places). - Calculation shown as "2.86" marked with an X, indicating a possible error: "You may have rounded in the wrong direction." This section illustrates the process of conducting and calculating a hypothesis test with given sample data.
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