An educational researcher says that the proportion of college students who study for their statistics final exam is 68%. Write the claim, null and alternative hypotheses for this statement. Draw a distribution to represent it, and then identify the type of test (tail) that should be used.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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An educational researcher says that the proportion of college students who study for their statistics final exam is 68%. Write the claim, null and alternative hypotheses for this statement. Draw a distribution to represent it, and then identify the type of test (tail) that should be used.
The document appears to be a table from an educational resource, focused on statistical analysis. It is titled "Appendix II Tables" and provides a "Critical Values for Student's t Distribution" table. This table is essential for hypothesis testing and confidence interval estimation in statistics when the underlying distribution is assumed to be normal.

### Explanation of Elements:

#### Diagrams:
1. **Confidence Level Diagram**:
   - Shows a symmetric bell curve representing a normal distribution.
   - **c** is the confidence level, with areas shaded in the tails representing regions beyond the critical values \(-t\) and \(t\).

2. **One-Tail Area Diagram**:
   - Depicts a normal distribution curve with shading on one side.
   - Shows areas for right-tail and left-tail tests.

3. **Two-Tail Area Diagram**:
   - Represents a normal distribution curve.
   - The shaded area on both tails indicates the area beyond the critical values in a two-tailed test.

#### Critical Values Table:
- The critical values of Student's t distribution are listed based on degrees of freedom (denoted as \(df\)) and area significance levels.
- Rows correspond to degrees of freedom, ranging from 1 to 1000.
- Columns represent one-tail and two-tail areas with significance levels like 0.250, 0.125, 0.100... down to 0.0005 for one-tail areas, and corresponding levels like 0.500, 0.250, 0.200... down to 0.001 for two-tail areas.
  
#### Guidance Note:
- At the bottom, a note advises users to choose the closest degree of freedom that is smaller if the exact value is not in the table.

This table is integral for academic settings, particularly in courses involving statistics, as it helps students determine critical values needed for t-tests.
Transcribed Image Text:The document appears to be a table from an educational resource, focused on statistical analysis. It is titled "Appendix II Tables" and provides a "Critical Values for Student's t Distribution" table. This table is essential for hypothesis testing and confidence interval estimation in statistics when the underlying distribution is assumed to be normal. ### Explanation of Elements: #### Diagrams: 1. **Confidence Level Diagram**: - Shows a symmetric bell curve representing a normal distribution. - **c** is the confidence level, with areas shaded in the tails representing regions beyond the critical values \(-t\) and \(t\). 2. **One-Tail Area Diagram**: - Depicts a normal distribution curve with shading on one side. - Shows areas for right-tail and left-tail tests. 3. **Two-Tail Area Diagram**: - Represents a normal distribution curve. - The shaded area on both tails indicates the area beyond the critical values in a two-tailed test. #### Critical Values Table: - The critical values of Student's t distribution are listed based on degrees of freedom (denoted as \(df\)) and area significance levels. - Rows correspond to degrees of freedom, ranging from 1 to 1000. - Columns represent one-tail and two-tail areas with significance levels like 0.250, 0.125, 0.100... down to 0.0005 for one-tail areas, and corresponding levels like 0.500, 0.250, 0.200... down to 0.001 for two-tail areas. #### Guidance Note: - At the bottom, a note advises users to choose the closest degree of freedom that is smaller if the exact value is not in the table. This table is integral for academic settings, particularly in courses involving statistics, as it helps students determine critical values needed for t-tests.
## Standard Normal Distribution Tables

### Understanding the Tables

The images contain standard normal distribution tables, which provide the area (probability) to the left of a given z-score. These tables are essential for statistical analysis, particularly in hypothesis testing and confidence interval estimation.

### Graphical Representation

A bell-shaped curve illustrating the standard normal distribution is shown on both pages. The shaded area to the left of a point \( z \) indicates the cumulative probability associated with that z-score.

### Detailed Descriptions

#### Areas of a Standard Normal Distribution (Table 5)
- **Purpose**: Provides cumulative probabilities for different z-scores.
- **Structure**: 
  - **Rows and Columns**: Represent z-scores with two decimal places.
  - **Entries**: Probabilities corresponding to the cumulative area to the left of the z-score.
- **Usage**: Locate the desired z-value in the row and column intersection to find the cumulative probability.

#### Confidence Interval Critical Values (Z)
- **Used to determine critical z-values for constructing confidence intervals.**
- **Levels of Confidence**: 
  - 0.70, 0.75, 0.80, 0.85, 0.90, 0.95, 0.98, 0.99
- **Critical Values**: Corresponding z-scores needed for each confidence level.

#### Hypothesis Testing Critical Values (Z \(\alpha\))
- **Purpose**: Critical z-values for hypothesis testing.
- **Levels of Significance**: 
  - Typical alpha levels shown: 0.05, 0.01
- **Z-scores**: Specific to one-tailed and two-tailed tests.

### Important Notes

- For inquiries regarding values not explicitly listed (e.g., z > 1.8), approximate the closest listed values.
- For values of z less than -3.49, use 0.000 as the area estimation.

These tables are crucial tools for anyone dealing with statistical data, allowing for the estimation of probabilities and critical regions in various analyses.
Transcribed Image Text:## Standard Normal Distribution Tables ### Understanding the Tables The images contain standard normal distribution tables, which provide the area (probability) to the left of a given z-score. These tables are essential for statistical analysis, particularly in hypothesis testing and confidence interval estimation. ### Graphical Representation A bell-shaped curve illustrating the standard normal distribution is shown on both pages. The shaded area to the left of a point \( z \) indicates the cumulative probability associated with that z-score. ### Detailed Descriptions #### Areas of a Standard Normal Distribution (Table 5) - **Purpose**: Provides cumulative probabilities for different z-scores. - **Structure**: - **Rows and Columns**: Represent z-scores with two decimal places. - **Entries**: Probabilities corresponding to the cumulative area to the left of the z-score. - **Usage**: Locate the desired z-value in the row and column intersection to find the cumulative probability. #### Confidence Interval Critical Values (Z) - **Used to determine critical z-values for constructing confidence intervals.** - **Levels of Confidence**: - 0.70, 0.75, 0.80, 0.85, 0.90, 0.95, 0.98, 0.99 - **Critical Values**: Corresponding z-scores needed for each confidence level. #### Hypothesis Testing Critical Values (Z \(\alpha\)) - **Purpose**: Critical z-values for hypothesis testing. - **Levels of Significance**: - Typical alpha levels shown: 0.05, 0.01 - **Z-scores**: Specific to one-tailed and two-tailed tests. ### Important Notes - For inquiries regarding values not explicitly listed (e.g., z > 1.8), approximate the closest listed values. - For values of z less than -3.49, use 0.000 as the area estimation. These tables are crucial tools for anyone dealing with statistical data, allowing for the estimation of probabilities and critical regions in various analyses.
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