Find the indicated probability using the standard normal distribution. P(-2.99

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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### Finding Probability Using the Standard Normal Distribution

**Problem:**

Calculate the probability using the standard normal distribution:

\[ P(-2.99 < z < 0) \]

**Resources:**

- [View Page 1 of the Standard Normal Table](#)
- [View Page 2 of the Standard Normal Table](#)

**Instructions:**

- Determine the probability \( P(-2.99 < z < 0) \).
- Round your answer to four decimal places as needed.

**Input Box:**

\[ P(-2.99 < z < 0) = \_\_\_\_\_ \]

**Notes:**

- You have a total time of 2 hours, 47 minutes, and 55 seconds to complete this task. 
- Click "Next" when ready to submit your answer.
Transcribed Image Text:### Finding Probability Using the Standard Normal Distribution **Problem:** Calculate the probability using the standard normal distribution: \[ P(-2.99 < z < 0) \] **Resources:** - [View Page 1 of the Standard Normal Table](#) - [View Page 2 of the Standard Normal Table](#) **Instructions:** - Determine the probability \( P(-2.99 < z < 0) \). - Round your answer to four decimal places as needed. **Input Box:** \[ P(-2.99 < z < 0) = \_\_\_\_\_ \] **Notes:** - You have a total time of 2 hours, 47 minutes, and 55 seconds to complete this task. - Click "Next" when ready to submit your answer.
**Title: Understanding the Standard Normal Distribution Table**

**Introduction:**
The table displayed provides the area under the standard normal distribution curve to the left of a given Z-value. This is a key concept in statistics, often used for determining probabilities and critical values in various statistical tests.

**Explanation of the Table:**
The table is structured with Z-values in the leftmost column, ranging from -3.4 to -2.0. The top row represents the second decimal place, ranging from 0.00 to 0.09.

**Reading the Table:**
To find the area to the left of a particular Z-score:
1. Locate the first digit and the first decimal of the Z-value in the leftmost column.
2. Identify the second decimal place across the top row.
3. The intersection of this row and column provides the cumulative probability of the Z-score.

**Example of Interpretation:**
- For a Z-score of -2.8, find -2.8 in the left column.
- Move horizontally to the column labeled .05 for the second decimal place.
- The corresponding value is .0026, indicating the probability that a value falls to the left of Z = -2.85 on the standard normal distribution curve is 0.26%.

**Application:**
This table is crucial in statistical methodologies involving normal distributions, such as hypothesis testing and confidence interval estimation. It helps in assessing how extreme or typical a given data point is within a distribution. 

Understanding and utilizing this table effectively allows for accurate statistical analysis and inference in a wide range of applications, from academic research to everyday data analysis tasks.
Transcribed Image Text:**Title: Understanding the Standard Normal Distribution Table** **Introduction:** The table displayed provides the area under the standard normal distribution curve to the left of a given Z-value. This is a key concept in statistics, often used for determining probabilities and critical values in various statistical tests. **Explanation of the Table:** The table is structured with Z-values in the leftmost column, ranging from -3.4 to -2.0. The top row represents the second decimal place, ranging from 0.00 to 0.09. **Reading the Table:** To find the area to the left of a particular Z-score: 1. Locate the first digit and the first decimal of the Z-value in the leftmost column. 2. Identify the second decimal place across the top row. 3. The intersection of this row and column provides the cumulative probability of the Z-score. **Example of Interpretation:** - For a Z-score of -2.8, find -2.8 in the left column. - Move horizontally to the column labeled .05 for the second decimal place. - The corresponding value is .0026, indicating the probability that a value falls to the left of Z = -2.85 on the standard normal distribution curve is 0.26%. **Application:** This table is crucial in statistical methodologies involving normal distributions, such as hypothesis testing and confidence interval estimation. It helps in assessing how extreme or typical a given data point is within a distribution. Understanding and utilizing this table effectively allows for accurate statistical analysis and inference in a wide range of applications, from academic research to everyday data analysis tasks.
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