Find the area of the indicated region under the standard normal curve. Click here to view page 1 of the standard normal table. Click here to view page 2 of the standard normal table. -1.1 The area between z= - 1.1 and z=1 under the standard normal curve is (Round to four decimal places as needed.)

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Find the area of the indicated region under the standard normal curve.
The image displays two pages of a Standard Normal Distribution (Z) table, which is used in statistical analysis to find the probability of a statistic falling within a normal distribution. The Z-table provides the area or probability corresponding to each z-score in a standard normal distribution, which has a mean of 0 and a standard deviation of 1.

### Explanation of Diagrams:

**Left Diagram:**
- The small graph at the top depicts a standard normal distribution curve with a shaded area representing the cumulative probability for a negative z-score.
  
**Right Diagram:**
- The graph here represents the standard normal distribution similarly, but it indicates the cumulative probability for a positive z-score.

### Transcribed Table Data:

#### Left Page (Negative z-scores):

- The table provides cumulative probabilities for z-scores ranging from -3.4 to -0.0.
- The columns represent the hundredths decimal place of the z-score, while the rows show the tenths and unit places.
- Examples:
  - For z = -2.2, the probability value at .06 is 0.0143.
  - For z = -0.8, the probability at .08 is 0.1922.

#### Right Page (Positive z-scores):

- This table gives cumulative probabilities for z-scores from 0.0 to 3.4.
- Similarly, columns indicate the hundredths decimal place, and rows indicate the tenths and unit places.
- Examples:
  - For z = 1.3, the probability value at .04 is 0.9032.
  - For z = 2.5, the probability at .07 is 0.9931.

### Usage:

- The Z-table values are crucial in hypothesis testing, confidence interval calculations, and other areas of inferential statistics to evaluate the statistical significance of observed data.
- To use the table, locate the z-score you are interested in by combining the row and column to find the corresponding cumulative probability.
Transcribed Image Text:The image displays two pages of a Standard Normal Distribution (Z) table, which is used in statistical analysis to find the probability of a statistic falling within a normal distribution. The Z-table provides the area or probability corresponding to each z-score in a standard normal distribution, which has a mean of 0 and a standard deviation of 1. ### Explanation of Diagrams: **Left Diagram:** - The small graph at the top depicts a standard normal distribution curve with a shaded area representing the cumulative probability for a negative z-score. **Right Diagram:** - The graph here represents the standard normal distribution similarly, but it indicates the cumulative probability for a positive z-score. ### Transcribed Table Data: #### Left Page (Negative z-scores): - The table provides cumulative probabilities for z-scores ranging from -3.4 to -0.0. - The columns represent the hundredths decimal place of the z-score, while the rows show the tenths and unit places. - Examples: - For z = -2.2, the probability value at .06 is 0.0143. - For z = -0.8, the probability at .08 is 0.1922. #### Right Page (Positive z-scores): - This table gives cumulative probabilities for z-scores from 0.0 to 3.4. - Similarly, columns indicate the hundredths decimal place, and rows indicate the tenths and unit places. - Examples: - For z = 1.3, the probability value at .04 is 0.9032. - For z = 2.5, the probability at .07 is 0.9931. ### Usage: - The Z-table values are crucial in hypothesis testing, confidence interval calculations, and other areas of inferential statistics to evaluate the statistical significance of observed data. - To use the table, locate the z-score you are interested in by combining the row and column to find the corresponding cumulative probability.
**Understanding the Area under the Standard Normal Curve**

To find the area of the indicated region under the standard normal curve, follow the links provided to view the standard normal tables:

- [Click here to view page 1 of the standard normal table.](#)
- [Click here to view page 2 of the standard normal table.](#)

In this task, we are interested in calculating the area between \( z = -1.1 \) and \( z = 1 \) under the standard normal curve. 

**Diagram Explanation:**
The diagram accompanying the text shows a standard normal distribution curve, which is symmetrical and bell-shaped. The shaded blue area represents the region between \( z = -1.1 \) and \( z = 1 \). This is the area we need to calculate.

**Calculation Note:**
Round your answer to four decimal places as necessary. Fill in your answer in the provided box once calculated.
Transcribed Image Text:**Understanding the Area under the Standard Normal Curve** To find the area of the indicated region under the standard normal curve, follow the links provided to view the standard normal tables: - [Click here to view page 1 of the standard normal table.](#) - [Click here to view page 2 of the standard normal table.](#) In this task, we are interested in calculating the area between \( z = -1.1 \) and \( z = 1 \) under the standard normal curve. **Diagram Explanation:** The diagram accompanying the text shows a standard normal distribution curve, which is symmetrical and bell-shaped. The shaded blue area represents the region between \( z = -1.1 \) and \( z = 1 \). This is the area we need to calculate. **Calculation Note:** Round your answer to four decimal places as necessary. Fill in your answer in the provided box once calculated.
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