Use the standard normal table to find the​ z-score that corresponds to the cumulative area 0.0072. If the area is not in the​ table, use the entry closest to the area. If the area is halfway between two​ entries, use the​ z-score halfway between the corresponding​ z-scores. Click to view page 1 of the standard normal table.

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Use the standard normal table to find the​ z-score that corresponds to the cumulative area
0.0072.
If the area is not in the​ table, use the entry closest to the area. If the area is halfway between two​ entries, use the​ z-score halfway between the corresponding​ z-scores.
Click to view page 1 of the standard normal table.
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Click to view page 2 of the standard normal table.
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z=enter your response here
​(Type an integer or decimal rounded to three decimal places as​ needed.)
The image provides a "Standard Normal Probabilities" table, which is used to determine the probability or area under the standard normal curve (also known as the z-table). This table is essential in statistics for finding probabilities related to the standard normal distribution, widely used in statistical analyses.

### Graph Information:
At the top of the image, there is a graphical representation of the standard normal distribution curve (bell curve). It highlights an area under the curve to the left of a specified z-score, indicating the probability that a standard normal random variable will fall within this area.

### Table Description:
- **Column Headers**: 
  - The table is divided into two panels for easier readability. 
  - Each column header begins with a different z-score digit after the decimal point, ranging from .00 to .09.

- **Row Headers**: 
  - The row headers denote the z-score's integer and first decimal digit. It ranges from -3.4 to 3.4, increasing in increments of 0.1.
  
- **Cells**: 
  - Each cell in the table corresponds to an area or probability value. This value represents the probability that a standard normal random variable is less than or equal to the z-score, as defined by the intersection of the row and column.

### How to Use the Table:
1. **Identify the Z-Score**: Find the z-score for which you want to determine the probability. It is typically calculated using the formula: \( z = \frac{(X - \mu)}{\sigma} \) where \( X \) is the value, \( \mu \) is the mean, and \( \sigma \) is the standard deviation.
   
2. **Locate the Row**: Look for the z-score's integer and first decimal digit along the row headers.

3. **Locate the Column**: Use the second decimal place of your z-score to find the corresponding column.

4. **Determine the Probability**: The intersection of the row and column will give the probability that a value is less than the specified z-score.

This table is crucial for performing hypothesis testing and confidence interval estimations in various statistical applications.
Transcribed Image Text:The image provides a "Standard Normal Probabilities" table, which is used to determine the probability or area under the standard normal curve (also known as the z-table). This table is essential in statistics for finding probabilities related to the standard normal distribution, widely used in statistical analyses. ### Graph Information: At the top of the image, there is a graphical representation of the standard normal distribution curve (bell curve). It highlights an area under the curve to the left of a specified z-score, indicating the probability that a standard normal random variable will fall within this area. ### Table Description: - **Column Headers**: - The table is divided into two panels for easier readability. - Each column header begins with a different z-score digit after the decimal point, ranging from .00 to .09. - **Row Headers**: - The row headers denote the z-score's integer and first decimal digit. It ranges from -3.4 to 3.4, increasing in increments of 0.1. - **Cells**: - Each cell in the table corresponds to an area or probability value. This value represents the probability that a standard normal random variable is less than or equal to the z-score, as defined by the intersection of the row and column. ### How to Use the Table: 1. **Identify the Z-Score**: Find the z-score for which you want to determine the probability. It is typically calculated using the formula: \( z = \frac{(X - \mu)}{\sigma} \) where \( X \) is the value, \( \mu \) is the mean, and \( \sigma \) is the standard deviation. 2. **Locate the Row**: Look for the z-score's integer and first decimal digit along the row headers. 3. **Locate the Column**: Use the second decimal place of your z-score to find the corresponding column. 4. **Determine the Probability**: The intersection of the row and column will give the probability that a value is less than the specified z-score. This table is crucial for performing hypothesis testing and confidence interval estimations in various statistical applications.
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